d7.2 communication and dissemination strategy · 2016. 4. 28. · d 7.2.1 – communication and...

D7.2 – Communication and Dissemination

Strategy

Document Number D 7.2.1

Status Draft

Work Package WP 7

Deliverable Type Report

Date of Delivery 30/September/2015

Responsible Unit IRT

Contributors IRT: Domenico Gallico

UPM: Enrique Fernández, Alberto Mozo,

Sandra Gomez

WIT: Robert Mullins

UNITN: Olga Uryupina

Alcatel Lucent: Udi Margolin

D 7.2.1 – Communication and Dissemination Strategy

CogNet Version 1.0 Page 2 of 37

TUB: Alaa Alloush

IBM: Haytham Assem

Vicomtech: Angel Martin

TID: Diego Lopez

Keywords Dissemination activities, communication

Dissemination level PU



Change History

Version Date Status Author (Unit) Description

0.1 19/08/2015 Draft Domenico Gallico, Matteo

Biancani

T.o.C. definition

0.2 08/09/2015 Draft Enrique Fernández Added partner contributions

0.3 09/09/2015 Draft Sandra Gomez Minor changes, added list of

tables

0.4 10/09/2015 Draft Domenico Gallico, Matteo

Biancani

Interoute Contribution and

comments

0.5 10/09/2015 Draft Diego Lopez TID contribution and comments

0.6 15/09/2015 Draft Olga Uryupina UNITN review and comments

0.7 15/09/2015 Draft Angel Martin VIC review and comments

0.8 15/09/2015 Draft Lei Xu IBM contribution and comments

0.9 18/09/2015 Final Enrique Fernández,

Sandra Gomez

Merge of reviews and comments,

change document according to

reviews

1.0 23/09/2015 Final Domenico Gallico Review



List of figures

Figure 1 - CogNet logo ................................................................................................................................................. 11

Figure 2 - CogNet Homepage .................................................................................................................................... 12



List of Tables

Table 1 - IBM’s publication targets .......................................................................................................................... 16

Table 2 - IBM’s planned industrial activities ......................................................................................................... 17

Table 3 - IBM's planned contributions to open source projects ................................................................... 17

Table 4 - Vicomtech’s publication targets ............................................................................................................. 18

Table 5 - Vicomtech’s planned industrial activities ............................................................................................ 19

Table 6 - Vicomtech’s planned contributions to open source projects ..................................................... 19

Table 7 - Vicomtech’s planned standardization activities ............................................................................... 19

Table 8 - WIT's publication targets........................................................................................................................... 20

Table 9 - WIT's planned academic activities ......................................................................................................... 20

Table 10 - WIT's planned contributions to open source projects ................................................................ 21

Table 11 - TUB's publication targets ........................................................................................................................ 21

Table 12 - TUB's planned academic activities ...................................................................................................... 21

Table 13 - TUB's planned contributions to open source projects ................................................................ 22

Table 14 - ALUIL’s publication targets .................................................................................................................... 22

Table 15 - ALUIL’s planned industrial activities ................................................................................................... 23

Table 16 - ALUIL's planned contributions to open source projects ............................................................ 23

Table 17 - ALUIL's planned standardization activities....................................................................................... 23

Table 18 - UNITN's publication targets .................................................................................................................. 26

Table 19 - UNITN's planned academic activities ................................................................................................. 26

Table 20 - UNITN's planned contributions to open source projects .......................................................... 26

Table 21 - TID’s publication targets ......................................................................................................................... 27

Table 22 - TID’s planned industrial activities ........................................................................................................ 28

Table 23 - TID's planned contributions to open source projects ................................................................. 28

Table 24 - TID's planned standardization activities ........................................................................................... 28

Table 25 - UPM's publication targets ...................................................................................................................... 30

Table 26 - UPM's planned academic activities ..................................................................................................... 30

Table 27 - UPM's planned contributions to open source projects .............................................................. 30

Table 28 - Interoute's publication targets ............................................................................................................. 32

Table 29 - Interoute’s planned industrial activities ............................................................................................ 32

Table 30 - Fraunhofer's publication targets .......................................................................................................... 34



Table 31 - Fraunofer's planned academic activities ........................................................................................... 34

Table 32 - Fraunhofer's planned contributions to open source projects .................................................. 34

Table 33 - Fraunhofer's planned contributions to testbed toolkits portfolio .......................................... 35



Acronyms and Definitions

Acronym Defined as

IEEE Institute of Electrical and Electronics Engineers

ACM Association for Computing Machinery

NFV Network Functions Virtualization

OPNFV Open Platform for NFV

SDN Software-Defined Networking

ML Machine Learning

IRTF Internet Research Task Force

MWC Mobile World Congress



Executive Summary

CogNet dissemination and communication activities aim at ensuring that

all relevant stakeholders, decision makers, and communities are informed

about project activities and outcomes, in order to validate, benefit from,

and possibly take up project results.

CogNet dissemination will consist of activities for project promotion as a

whole, and dissemination of specific and innovative results (e.g., scientific

papers). These include scientific papers, journals and conferences of

interest, press releases, and a list of relevant industrial associations that

are interested in the project activities and outcomes. Both future and

current activities are presented, targeting different academic and industrial

communities, students, stakeholders and decision makers.

CogNet communication will consist in the promotion of the project

branding and message via Social and Web platforms, in order to create a

community of researchers and observers of the project activities, possibly

evolving into a group of adopters or stakeholders of the CogNet

solutions.

This deliverable presents detailed plans for these dissemination and

communication activities



Table of Contents

1. Dissemination strategy and plan ................................................................................... 10

1.1. Logo and acronym ....................................................................................................................................... 10

1.2. Project presentations .................................................................................................................................. 11

1.3. Public web site .............................................................................................................................................. 11

1.4. Publications in conferences, workshops and journals ................................................................... 13

1.5. Planned workshops ..................................................................................................................................... 14

2. Individual planned dissemination activities ................................................................. 15

2.1. IBM ..................................................................................................................................................................... 15

2.2. Vicomtech ....................................................................................................................................................... 17

2.3. Waterford Institute of Technology ........................................................................................................ 17

2.4. Technische Universität Berlin ................................................................................................................... 21

2.5. Alcatel Lucent ................................................................................................................................................ 21

2.6. University of Trento ..................................................................................................................................... 22

2.7. Telefonica I&D............................................................................................................................................... 24

2.8. Universidad Politécnica de Madrid ....................................................................................................... 26

2.9. Interoute .......................................................................................................................................................... 28

3. References ....................................................................................................................... 36



1. Dissemination strategy and plan

During the first year, CogNet will focus on spreading the project ideas and use case scenarios

through publishing news on different project/platform websites, forums, etc. Specifically, the

main dissemination goal is to create a group of followers eager to use our results for their own

activities, services and deployment. A secondary goal is to collect experiences and lessons

learned from use case scenarios similar to the ones that will be addressed in CogNet.

To this end, the dissemination plan of the CogNet partners consists of the following activities:

Publishing high-quality papers in major international conferences and journals in the area

of networking, security, and autonomic systems, big data, data mining, data analysis,

parallel processing and closely related fields, to promote new ideas and concepts

stemming from project activities and outcomes.

For the academic partners, gaining significant skills in the area of big data computing,

data mining and analysis, machine learning and distributed computing. Such skills and

knowledge will lead to new courses to be held to undergraduate, graduate and PhD

students, summer schools, seminars and informal presentations to research partners.

For the industrial partners, the dissemination of results and prototypal implementations,

both internally and to other partner companies for industrial exploitation.

The dissemination plan will also include:

• Press releases and Whitepapers; introducing project vision and key aspects of CogNet

research

• Poster/brochure to be used for project dissemination by consortium partners in

networking events at conferences and within the 5GPPP coordination activities

An internal tracking system will be maintained to identify events (exhibitions, conferences,

workshops, journal’s/magazine’s CFPs) relevant to the project and actions to target them.

1.1. Logo and acronym

To clearly identify the project in all dissemination activities, a logo has been designed to be easily

recognizable and represent the project.

The acronym, CogNet, is taken directly from the project’s full name, Cognitive Networks.

The logo selected can be seen in Figure 1 - CogNet logo.



Figure 1 - CogNet logo

1.2. Project presentations

This activity has the twofold objective of developing contacts in the research community involved

in activities within the scope of the project and reaching a wider audience potentially interested

in applying the outcomes of the project to other contexts.

To this end, the Waterford Institute of Technology (WIT), as project coordinator has made a press

release available at their website, titled “TSSG wins €6m EU 5G PPP project” [1]. Following this

press release, several articles and other press releases have been published about the project in

online publications such as The Engineers Journal [2] and others [3][4]. Another article about the

project was published in the printed version of the “The Sunday Business Post”, in Ireland. Several

videos presenting the project can be found on the 5G PPP and TSSG’s Youtube channels [6].

Fraunhofer FOKUS also made an announcement available on their news page [5].

Vicomtech has already included CogNet in the list of ongoing projects on its website [6].

Several social media accounts have been set up to report on the CogNet progress, help reach a

wider audience and let followers of the project stay up to date. Currently, a twitter account [8]

(handle @5GPPPCogNet), a LinkedIn project page [9], a Facebook page [10] and a Youtube

channel [11] (5GPPPCogNet) are available and will be expanded as the project progresses.

1.3. Public web site

The CogNet public website (http://www.cognet.5g-ppp.eu) [12] offers an extensive compilation of

relevant information for project members, partners, reviewers (European Commission) and

anybody else interested in the ongoing research carried out at CogNet. A detailed description of

this portal can be found in the CogNet public deliverable D7.1, and the Figure 2Error! Reference

source not found. illustrates the look and feel of this web site.

When the portal is accessed, users will first find a homepage with some information about the

project giving a brief overview of its vision and its goals. Here, there are three subsections related

to communication and dissemination, ‘Dissemination’, ‘News’ and ‘Events’. These subsections will

be the main method of communication with the public:

http://www.cognet.5g-ppp.eu/



The Dissemination section contains the list of all Public Deliverables of the project, which

will be available for download. It contains a Publication sub-section that holds all the

Presentations and Papers that will be produced during the project execution and beyond.

The News section contains a timeline with news relevant to CogNet or the 5GPPP

initiative published on the website. This section will be continuously updated as the

project evolves to show the latest information.

The Events section contains a calendar with information about the participation by

partners in conferences and events.

Figure 2 - CogNet Homepage



1.4. Publications in conferences, workshops and journals

Specifically addressing scientific dissemination, the following list presents only a subset of

conferences and journals where the partners aim to publish their work:

IEEE/ACM Transactions on Networking

IEEE BIGDATA

IEEE Transactions on Mobile Computing

IEEE Transactions on Neural Networks and Learning Systems

IEEE Transactions on Fuzzy Systems

IEEE Transactions on Evolutionary Computation

IEEE International Conference on Computer Communications

ITS World Congress

IEEE Transactions on Intelligent Transportation Systems

IEEE Network

IEEE Multimedia

ACM SIGCOMM

IEEE Communications Magazines

ICML (International Conference on Machine Learning)

IEEE Transactions on Pattern Analysis and Machine Intelligence

NIPS (Neural Information Processing Systems Foundation)

KDD (Knowledge Discovery and Data Mining)

IEEE ICDM International Conference on Data Mining

IJCAI (International Joint Conference on Artificial Intelligence)

ECAI (European Conference on Artificial Intelligence)

ACL (Annual Meetings of the Association for Computational Linguistics)

EMNLP (Empirical Methods in Natural Language Processing)

Any other conference, workshop, journal, special issue and magazine related with big data, data

mining, machine learning and the application areas of the project in network technologies may

be a proper venue to disseminate CogNet results. To ensure high-quality dissemination, ISI-

indexed journals with a significant impact factor in the field will be selected. As a baseline, only

peer-reviewed venues will be considered for scientific dissemination.

Industrial partners will strive to disseminate the results of CogNet through the industrial events

they participate in, especially those with the higher involvement in innovation activities (such as

the SDN World Congress or the MPLS+SDN+NFV World) and maximum impact (e.g., the Mobile



World Congress), with the position of several partners as reference service and technology

providers worldwide helping to achieve dissemination of CogNet results in such events.

1.5. Planned workshops

CogNet plans to contribute and/or participate in workshops in the future of the project, aimed at

showcasing results in the second half of the project, when the research has taken place and

they'll be more mature. These workshops will possibly be co-located with major events like MWC

or similar SDN/NFV related exhibitions or conferences, and it might also be part of joint

concertation initiatives promoted by the 5GPPP.

1.6. 5GPPP specific dissemination

CogNet will work with some of the other projects in the 5GPPP, particularly those involved in the

5GPPP Working Group on Network Management, Quality of Service and Security. The purpose of

the working group is to bring together the projects within the 5GPPP that have common interest

in the development and progression of these three clearly identified topics and to as great an

extent as possible to ensure that the projects are working in a complimentary manner towards

consistent goals, exchanging ideas, minimizing the duplication of effort, contributing towards

relevant standards and where possible cooperating on the development of compatible

components, demonstrators, the exchange of data and results and the interworking of

communication layers, where applicable.

Some of the 5GPPP projects that CogNet may potentially work with include 5GEx, 5G Ensure,

Speed 5G, Coherent and Charisma. The planned events include Mobile World Congress, ETSI

events, GSMA events, EuCNC and specifically organised global 5G events.

A core output foreseen from the group will be a white paper giving an overview of the various

projects’ approaches to the relevant research areas given above, the pre structuring model and

consensus approaches adopted by the projects. The paper will also discuss how the Working

Group could liaise with and interwork with the other projects and working groups, particularly the

Architecture and RAN oriented WGs. The white paper would also outline the projects’ standards

contributions and use of / contribution towards open source software.

It is also foreseen that the group should also identify relevant standards bodies such as IETF,

3GPP, ETSI etc. and specific standards where the projects could contribute towards



2. Individual planned dissemination

activities

This section covers the planned dissemination activities of each of the partners, additionally to

the ones described in the previous section.

2.1. IBM

IBM Dublin Software Lab is aiming to publish white papers and to participate in scientific events

in order to promote the CogNet project. Such events include contributions to conferences and

journals in the field of Machine learning technologies. IBM will focus on demonstrating real life

applications of CogNet results in publications that promote a balance between applied and

fundamental scientific excellence. It is envisaged that this approach will help to demonstrate the

impact of CogNet and increase the public awareness of its activities. IBM aims to participate in

several conferences including but not limited to the ones presented in Table 1.

|In addition, IBM will endeavour to incorporate the machine learning algorithms developed in

CogNet for network management into its products and services, many of which are developed

and sold in Ireland and the EU. We therefore expect this to commercially benefit EU citizens and

business across Europe. Integration of CogNet technologies for network management is

expected to impact three main classes as shown in Table 2. Besides, IBM is looking to contribute

in some open source projects as shown in Table 3.

IBM will not only seek to directly exploit the IP derived from CogNet but will also play a key role

in assisting the commercialization process of the other CogNet partners. IBM is structured to

enable this by bringing its Ecosystems Development (EcoD) and Global Entrepreneurial Program

(GEP) and associated resources/expertise to the consortium of CogNet. This program provides

support for 10,000 SMEs today, with circa 40% of these SMEs in Europe. Specifically, IBM has a

long and deep commitment to the entrepreneurial community. These programs are global in

nature and have a focus on accelerating startups, assisting in the resources that SMEs need,

including free software and technical experts, exposure to 600+ expert mentors including

corporate execs and serial entrepreneurs, plus access to a global network of IBM partners and

clients. Consequently, IBM's architectural leadership role in CogNet aims to extend the R&D

partnership to also incubate the innovation from the consortium in the IBM EcoD and GEP

programs, and to collaboratively build a commercial solution platform with the consortium. This

program will enable CogNet partners to leverage IBM and third party technologies and purpose

built tools to accelerate new and existing SME exploitation. These programs also provide access

to IBM's vast client and partner base, leveraging its technical expertise, business mentoring and

go-to-market support from IBM leaders who support thousands of SME clients in this way today.

IBM Dublin, one of the key partners within the CogNet project will promote exploitation of results

internationally through close collaboration with various research and development groups within



IBM. These development groups cover a wide range of software products, and have considerable

experience in developing and deploying complex systems.

Publications

Journal, conference or white paper Main dissemination aspects

IEEE Globecom International Conference

on Communications

Publication of CogNet’s scientific results in relation to

network management.

IEEE Transactions on Neural Networks

and Learning Systems


machine learning specifically using neural nestwork

and deep learning.

ICML (International Conference on

Machine Learning)


machine learning.

KDD (Knowledge Discovery and Data

Mining)


data mining techniques.

IEEE Communications Magazines Dissemination of CogNet's usecases and scenarios.

IEEE BIGDATA Publication of CogNet’s scientific results in relation to

big data management solutions.

Table 1 - IBM’s publication targets

Industrial activities

Name of the

involved

product/event

Main dissemination aspects

IBM Softlayer [18] CogNet is expected to impact the Infrastructure as a service (IaaS) of the IBM

Cloud by providing cognitive managed IaaS.

IBM Netcool [19] IBM Tivoli Netcool/OMNIbus delivers near real-time, consolidated event

management across business infrastructure, data centers, complex networks

and IT domains. IBM is investing in the delivery of different cognitive



network capabilities via machine learning in order to provide full

management and automation to help deliver continuous uptime of business

services and applications.

Apache Spark [20] IBM announced recently [21] a major commitment to Apache Spark,

potentially the most important new open source data defined project in the

last decade. At the core of this commitment, IBM plans to embed Spark into

its industry-leading Analytics platforms. Hence, IBM has an initial plans to

use Spark as the big data platform as part of the CogNet Architecture.

Table 2 - IBM’s planned industrial activities

Open source projects

Name of the

project


Apache Spark IBM announced recently [21] a major commitment to Apache Spark,

potentially the most important new open source data defined project in the

last decade. At the core of this commitment, IBM plans to embed Spark into

its industry-leading Analytics platforms. Hence, IBM has an initial plans to use

Spark as the big data platform as part of the CogNet Architecture.

Table 3 - IBM's planned contributions to open source projects

2.2. Vicomtech-IK4

The operational expertise in next-generation networks acquired over the course of CogNet will

improve the ability of Vicomtech to provide better solutions tailored for the specific conditions

and requirements of future applications demanded by the industry. The transportation sector and

the multimedia service providers are two of the key sectors that will be benefited by incoming 5G

infrastructures and networks. The CogNet framework will support Vicomtech to transfer

technologies to the Basque ICT industry in those markets.

Vicomtech-IK4 has targeted the following journals and conferences aligned with the research to

be done in the CogNet scope and related with application domains where CogNet breakthroughs

will be interesting for the research community.

Publications




ITS World Congress General dissemination of CogNet Project

with the focus on the application of 5G in

the transport sector.

IEEE Transactions on Intelligent Transportation

Systems

Scientific results about the application of

5G in the transport sector

IEEE Network Advances and challenges of Multimedia

streaming services over 5G platforms

IEEE Multimedia Standards for multimedia streaming

services and performance over 5G

platforms

International Workshop Multimedia Signal Processing

(MMSP)

HEVC and MPEG-DASH set up to meet 5G

networking challenges

IEEE Transactions on Multimedia Key metrics, set up and solutions for

optimal Multimedia streaming services

over 5G platforms

Springer Applied Intelligence Distributed time series analysis for

contingency forecasting in adaptive

networks

Table 4 - Vicomtech’s publication targets


Name of the

involved

product/event


Streame! A development toolkit that will benefit from the activities of the project

is Streame!, dedicated to streaming for multimedia apps

TransConnecta An SDK for the development of connected transportation applications,

TransConnecta will aggregate some of the results obtained during the

CogNet project in a format readily integrable in operational settings.



Parsec CogNet is expected to significantly impact the development of the

Parsec platform for simplified big data analytics that Vicomtech is

developing based on open-source stacks

Table 5 - Vicomtech’s planned industrial activities


Name of the

project


MLlib Vicomtech is considering proposing a number of selected algorithms to be

developed in CogNet for integration into the open-source distributed

machine learning library MLlib.

Table 6 - Vicomtech’s planned contributions to open source projects

Standardization activities

Activity Main dissemination aspects

Standardization Vicomtech will consider presenting advancements of significance in QoS

evaluation methodologies developed in the framework of the project for

standardization to the relevant bodies.

Table 7 - Vicomtech’s planned standardization activities

2.3. Waterford Institute of Technology

WIT plans to very proactively disseminate the results of CogNet over the duration. To this end it

is foreseen that WIT will seek to contribute to various open source projects, publish in leading

relevant journals and magazines and also present results in relevant conference papers. Some of

the relevant conferences and journals and magazines which WIT will aim to target in the project

are listed below:

Publications


IEEE Globecom International Conference on Submission of Conference Paper on the principal



Communications research results of CogNet

Wireless Communications and Networking

Conference (WCNC)

Submission of Conference Paper on Network

Management and research results

Computer Communications Relevant Journal Paper

Journal of Network and Computer

Applications

Relevant Journal Paper

Springer Journal of Network and

Systems Management

Journal Paper on Network Management results and

impacts

IEEE/ACM Transactions on Network and

Service Management

Journal Paper on Network Management results and

impacts

IEEE Communication Magazine Relevant Magazine Paper

IEEE Network Relevant Magazine Paper

Table 8 - WIT's publication targets

Academic activities


Train PhD students WIT will have one full time Post Doc and two students assigned to this

project (in addition to engineers and the coordinator) who are basing

their PhD work on the advanced network management and

mathematical algorithms being developed in the project.

Table 9 - WIT's planned academic activities


Name of the

project


OpenStack Open source cloud management platform – propose extending to include

network management interfaces and functionality

OPNFV Open Source Network Function Virtualisation Platform based on other OS

projects such as OpenStack and OpenDaylight – proposed extensions for

management of NFV

OpenDayLight Open Source Software Defined Networking Platform – extensions for

management of SDN



Table 10 - WIT's planned contributions to open source projects

2.4. Technische Universität Berlin

Technische Universität Berlin (TUB) as an academic partner contributing to CogNet project

through developing with other partners new concepts and solutions for 5G networks has a view

for communication and dissemination plan in the context of CogNet project. TUB will aim to

publish its outcome and gained experiences in highly ranked conferences, workshops and

journals (see Table 11). TUB will aim as well to disseminate CogNet results in any other

workshops, journals, and conferences related to machine learning, big data and 5G network

technologies. TUB will also use the gained knowledge from CogNet in extending its teaching

profile to allow its undergraduate and graduate students to stay up to date with the state-of-the-

art (see Table 12). TUB will also develop machine learning components and integrate them in

open source frameworks (see Table 13).

Publications


Fraunhofer Fokus Fuseco forums Presenting Cognet’s results

ICML (International Conference on

Machine Learning)

Publication on CogNet’s results in terms of adopting

machine learning in 5G networks

ITS World Congress General dissemination of CogNet Project with the focus

on the application of 5G

IEEE/ACM Transactions on

Networking


network management

Table 11 - TUB's publication targets

Academic activities


Develop course

programs

Supplementing TUB’s teaching modules namely Next Generation

Networks (NGN) and Future Internet Technologies (FIT) of its master

degree as well as seminars and projects.

Train Master and PhD

students

TUB will user CogNet to extend and enrich its master and PhD degrees

with novel themes.

Table 12 - TUB's planned academic activities




Name of the

project


OpenBaton Deploy of machine learning algorithms in Network Function Virtualization

(NFV)

Table 13 - TUB's planned contributions to open source projects

2.5. Alcatel Lucent

As part of the development of CogNet use cases, Alcatel Lucent finds that contributing relevant

portions of the developed IP to existing open source projects has the best chance of making the

effective impact on the community. Alcatel Lucent will focus their efforts on Openstack [13] and

OPNFV [14] as the leading organizations in Cloud management and monitoring.

Relevant projects in Openstack could be Ceilometer or Monasca or we may try to initiate a new

Openstack project for Root Cause Analysis (RCA) using Machine Learning methodologies.

In OPNFV we see Doctor [17] as a candidate project for integrating our RCA solution or another

option is to initiate a new project.

In order to achieve these goals we will have to work with the Openstack and OPNFV communities

and try to impact the roadmap of these projects.

Focusing on the research part of CogNet, Bell-Labs Israel aims at publishing the results of the

research in top tear conferences and Journals, such as Infocom, ICSE, MoDELS and CONEXT.

In addition, Bell-labs hosts periodic international hackatons and summer schools in the realm of

SDN and NFV. This platform would serve as another mean to present, experiment and

disseminate the results of CogNet.

Publications


Top tear publications such as, Infocom,

ICSE, MoDELS, and CONEXT

Publication of CogNet’s scientific results in NFV

analytics and root cause analysis

Table 14 - ALUIL’s publication targets


Name of the

involved




product/event

MWC Cloudband has been present in MWC for the past few years and plan to

demonstrate emerging capabilities in the next conferences as well. MWC

seems and excellent platform for demonstrating novel analytics capabilities

to be developed as part of CogNet and be included in Cloudband NFV

platform.

SDN/NFV summit

Cloudband regularly attend and present keynotes in the SDN/NFV summit.

Thus is yet another excellent opportunity to disseminate the intriguing and

novel ideas and directions of CogNet.

Table 15 - ALUIL’s planned industrial activities


Name of the

project


OpenStack [13] OpenStack is becoming the the facto standard for the NFV VIM (Virtual

Infrastructure Manager). Accordingly, ALUIL aims at supporting the

monitoring framework of CogNet in OpenStack. To that end, we plan a new

project that focus on monitoring system for Analytics and Root Cause

analysis as envisioned in CogNet.

OPNFV [14] OPNFV is yet another opensource platform for introducing NFV features and

compatabilities. Generally, OPNFV operates within and ontop of OpenStack.

As such, ALUIL will introduce and push the ideas or CogNet to the relevant

projects of OPNFV, such as Doctor.

Table 16 - ALUIL's planned contributions to open source projects



ETSI

NFV

CloudBand business unit of ALUIL attend regularly the ETSI NFV forum. This forum

moves from stage 2 of information model definitions to stage 3 of standardizations and

data model definition. In stage 3, ALUIL aim at shaping the standard to adopt the

monitoring and analytics framework of CogNet, and meeting with it’s architectural

requirements.

Table 17 - ALUIL's planned standardization activities



2.6. University of Trento

Within the CogNet project, the University of Trento will develop innovative machine learning

approaches to network management, focusing on accurate algorithms also exploiting structured

input and output models. We will combine the network-internal classifiers with textual analytics

to propose novel algorithms for network state prediction (CogNet Scenario “Large-Scale Event

Detection”).

We aim at presenting our research and discussing it with the scientific community at the most

important international and European conferences, devoted to machine learning and statistical

methods. Participation in these events will, on one hand, ensure the innovative and cutting-edge

character of the CogNet research, and, on the other hand, will provide excellent opportunities for

disseminating the project’s findings and establishing future collaborations with the leading

research groups, thus advancing the state of the art within and beyond the scope of CogNet. The

plan for presentation at conferences not located in Europe will also depend on the approval of

Project Coordinator and EC Project Officer of CogNet.

Also, the University of Trento targets several high-impact machine learning, artificial intelligence

and Computational Linguistics journals for disseminating final results of the CogNet project. It is

important to stress that, although the name may be misleading, the computational linguistics

community has developed the most advanced research in machine learning in terms of stricture

output, in the recent years. This mostly depends on the fact that the data in language is

inherently structured so it offers the possibility to work with concrete structured data both in

input and output, e.g., syntactic parse trees for natural language understanding tasks.

The structural input ML algorithms to be developed within the CogNet project provide a

challenging educational material that will be incorporated into our university curriculum. The

NLP-IR course will benefit considerably: new topics will be added (parallelization for large

amounts of network data), already existing topics will be addressed deeper (structural input and

output models) and a new application domain will be covered (telecommunication networks).

Subject to the quality and type of project results, a specific course for the PhD students may be

organized at the University of Trento.

UNITN plans to organize 2 events for advertising some of the CogNet technologies. The first

event regards the use of machine learning for automatically mapping user events into a

predefined ontology. The event will held in Trento and will include two international speakers

(one from IBM and the second from academic world with expertise in machine learning) and one

speaker from the CogNet project. The expected date for the event will be on November 18, 2015.

The second event will again be held in Trento and will regard machine learning. It will be based

on a set of invited speakers (5/6 speakers): 3 speakers are expected from Google, and two

speakers from the CogNet project. The latter two will present development on machine learning

technology in the project, especially in the field of Deep Neural Networks and event extraction.

The possible dates for the events will be on the beginning of March 18, 2016 or May, 2016



Publications


Journal of Machine Learning Research

Publication of CogNet’s scientific results in

relation to machine learning and artificial

intelligence International Journal of Intelligent Systems

Journal of Information Science

IEEE Transactions on Pattern Analysis and Machine

Intelligence

Information Processing and Management Journal

Journal of Artificial Intelligence Research

Artificial Intelligence Journal

Computational Linguistics

ACM Transactions on Information Systems

IEEE Transactions on Pattern Analysis and Machine

Intelligence

ICML (International Conference on Machine Learning) Presentations at the Machine Learning

conferences ECML PKDD (The European Conference on Machine

Learning and Principles and Practice for Knowledge

Discovery in Databases)

NIPS (Neural Information Processing Systems

Foundation)

KDD (Knowledge Discovery and Data Mining)

IEEE ICDM (International Conference on Data Mining)

IJCAI (International Joint Conference on Artificial

Intelligence)

ECAI (European Conference on Artificial Intelligence)

BigData (International conference on Big Data)

ACL (Annual Meetings of the Association for

Computational Linguistics

EMNLP (Empirical Methods in Natural Language

Processing)



Table 18 - UNITN's publication targets

Academic activities


NLP-IR course for

Master’s in Computer

Science

CogNet-related results will be used to enhance an existing course

offered at UNITN

Develop course

programs

More Master’s and PhD-level courses may be developed to enhance the

UNITN curriculum with network-related topics subject to the quality of

the project’s results

ML for Mapping User

Events into Predefined

Ontologies Event (Nov

2015)

Discuss and disseminate CogNet activities on detecting large events in

networks.

ML Event (Spring 2016) Present innovative ML models developed within CogNet.

Table 19 - UNITN's planned academic activities


Name of the project Main dissemination aspects

Releasing open-

source software

UNITN plans to release its machine learning software developed within

the CogNet project as open-source libraries

Table 20 - UNITN's planned contributions to open source projects

2.7. Telefonica I&D

Beyond general dissemination activities as described in the previous sections TID foresees direct

communication of CogNet results in various aspects:

The consolidation of Software Networks technologies within the Telefonica infrastructure

and services.

Empowering different business units with more flexible mechanisms for network

infrastructure design and deployment. In a first phase, the target business unit for early

CogNet dissemination will be the wholesale and the cloud services ones.

Taking advantage of CogNet to foster open innovation. Telefonica is strongly committed

to an open approach to innovation activities and to the establishment of an innovation

ecosystem based on it.



Beyond this, we will seek for direct collaboration with the other CogNet partners (both industrial

and academic) in supporting dissemination activities such as joint internal workshops,

participation in training activities, or support to academic actions, and wherever the role of

Telefonica as global network services operator can add value to those activities.

Publications

Journal, conference or

white paper


IEEE Network

IEEE Communications

Magazines

Highlight the CogNet results in what relates to novel network

management techniques, and the advantage of applying them to new

architecture paradigms related to Software Networks

Mobile World

Congress

Industrial visibility of CogNet results in one of the most relevant

industrial events in what relates to mobile networks

EWSDN

Open Networking

Summit

Two reference conferences related to Software Network technologies,

where CogNet will be able to demonstrate its contributions to the

evolution of these technologies

SDN World Congress

NFV Summit

Two reference industrial events on Software Network technologies,

where Co CogNet will be able to showcase its contributions to the

industry practitioners

Table 21 - TID’s publication targets


Name of the

involved

product/event


Telefonica NFV

Council

Incorporate the results of CogNet into the Telefonica NFV Reference Lab,

and as a reference technology for future NFV deployment in the Telefonica

Group

Wayra [32] Telefonica is promoting technology startups through this initiative and we



foresee CogNet supporting new business models suitable to be applicable

to these initiatives, where an open-source model will play a key role to

build awareness and assess applicability of new solutions

Table 22 - TID’s planned industrial activities


Name of the

project


OpenMANO [33] OpenMANO is an open source NFV orchestration stack initially developed for

Telefonica’s NFV Reference Lab. TID will incorporate CogNet modules at the

orchestrator layer

OPNFV [14] Demonstration of CogNet results on the distributed demo platform, and

integration with the software distributions addressed by the project

Table 23 - TID's planned contributions to open source projects



IETF/IRTF Contributions to the relevant RGs and WGs: NFVRG, SDNRG, ANIMA, SUPA…

Other related activities alive in IETF: MARNEW, CROWN…

ETSI NFV

ISG

Contributions of CogNet results to the applicable WGs, especially EVE and REL

ONF CogNet results as inputs to activities related to NBI and intent interfaces

GSMA Provide CogNet insights in the activities related to cooperative management and

security

Table 24 - TID's planned standardization activities

2.8. Universidad Politécnica de Madrid

Knowledge dissemination and elaboration of the research done in CogNet are the key focuses of

the Universidad Politécnica de Madrid (UPM). Specifically, the development of highly scalable

machine learning algorithms for clustering and forecasting in NFV scenarios will be one of the

main focuses of UPM’s research. UPM will publish and actively disseminate the technical results

obtained during the project in top-level international journals, magazines and top peer-reviewed

conferences, which are very valuable in terms of project results visibility (see Table 25). In terms



of education, UPM will use the knowledge obtained from the collaboration in CogNet for

teaching, training, and research purposes, using them as a platform for the education of

undergraduate, graduate and PhD students. These goals are detailed in Table 26. UPM will also

explore the inclusion of CogNet’s highly scalable distributed analytics and machine learning

components in multi-domain open source frameworks (see Table 27).

In addition, UPM hopes that the achieved results will serve as inputs to NFV related IRTF

standards (such as NVO3 [28] and NFVRG [29]) and ETSI’s Industry Specification Group for

Network Functions Virtualisation (NFV ISG [30]) specifically in the NFV Management and

Orchestration (NFV MANO [31]) architecture. UPM will explore options to secure IP generated

within the project and launch and incubate spin-offs or license the IP. The ultimate goal of these

activities is to introduce innovative services and/or products related with analytics and machine

learning techniques into the SDN/NFV market.

Publications


IEEE/ACM Transactions on Networking Publication of CogNet’s scientific results in

relation to network management

Computer Networks Publication of CogNet’s scientific results in

relation to network management

IEEE BIGDATA Publication of CogNet’s scientific results in

relation to scalable algorithms for huge amounts

of data

IEEE Transactions on Neural Networks and

Learning Systems


relation to the application of neural networks to

network management challenges

IEEE International Conference on Computer

Communications (INFOCOM)


relation to innovative techniques for network

management

IEEE Network Publication of CogNet’s scientific results in


management

ACM SIGCOMM Publication of CogNet’s scientific results in


management

NOMS (Network Operations and Management

Symposium)



management



ICML (International Conference on Machine

Learning)


relation to theoretical and practical advances in

machine learning

ECML-PKDD (European Conference on

Machine Learning and Principles and Practice

of Knowledge Discovery)


relation to theoretical and practical advances in

machine learning

KDD (Knowledge Discovery and Data Mining) Publication of CogNet’s scientific results in

relation to scalable algorithms for huge amounts

of data

Table 25 - UPM's publication targets

Academic activities


Train PhD students UPM plans to adapt some of the CogNet outputs to prepare PhD

candidates to work in technologically and scientifically advanced

analytics and machine learning for network and cloud environments.

Develop undergraduate

and Master’s course

programs.

The results will be used for updating and introducing innovative topics

into the course programs, seminars, master’s theses and also as

cornerstones for further scientific research activities. UPM will also

leverage these outputs to design advanced undergraduate courses.

Table 26 - UPM's planned academic activities


Name of the project Main dissemination aspects

SAMOA Inclusion of highly scalable online machine learning components

Apache Mahout Inclusion of highly scalable offline machine learning components

Apache Spark Issue notification. Feedback on machine learning components.

Table 27 - UPM's planned contributions to open source projects

2.9. Interoute

Interoute plans to participate in the joint dissemination activities launched by the CogNet

consortium, focusing on publications and events more in scope with the market area of Cloud

and Network Operators and related managed services.



Interoute can contribute together with other partners in the consortium to joint publications of

project results in leading relevant journals and magazines (some potential opportunities listed at

Table 28) and also participate to presentations and demos in relevant conferences, exhibitions

and concertation events.

Interoute intends also to work on coordinating the editing and publishing of at least 2

newsletters or whitepapers focused on CogNet results to be promoted towards specific

stakeholders (e.g. network operators, vendors etc.).

All the relevant results and publications from the project will also be presented internally to other

Interoute departments (e.g. CTO) by means of intranet sharing tools and periodic group

presentations. This internal dissemination activity will allow to better define the future

exploitation plans on the project foreground.

Finally, Interoute, as an industrial partner of the project, will use its network of business partners

and customer-related events to publish and spread the knowledge and the technical

achievements gathered during the experience in the project.

Another opportunity to both disseminate our project and improve our results, are the liaisons

with other EC projects in which Interoute or other partners are involved in. Currently Interoute is

involved in and sometimes coordinates other EC-funded ICT projects in FP7 and H2020

programmes in the area of Cloud, security and Data Centers (e.g. CYCLONE, PRISMACLOUD,

DOLFIN). Possibilities to establish liaisons with these projects for the exchange of results on

Cloud systems, SDN/NFV and Data Center functions will be evaluated, with Interoute planning to

act as bridging partner.

Publications


IEEE Globecom International

Conference on Communications

Joint publication of CogNet’s scientific results in

relation to network management.

IEEE Communications Magazines Dissemination of CogNet's usecases and scenarios.

IEEE Network Dissemination of CogNet's usecases and scenarios.

EUCNC/Netfutrues/ICT CogNet results and demos in EC sponsored

coordination and concertation events

Mobile World Congress Dissemination and Demos of CogNet's usecases



Newsletters (x2) One newsletter around M18 and one by the end of the

project to report on relevant results and scenarios to

be cumulatively announced to the research community

Whitepapers (x1) One whitepaper on the impact of CogNet solutions on

5G Network Management, particularly focused on

Network Operators’ needs, by the end of the project.

Table 28 - Interoute's publication targets


Name of the involved

product/event


Mobile World Congress Possibility for organizing a booth with CogNet demos, by the

end of the project

Table 29 - Interoute’s planned industrial activities

2.10. Fraunhofer

Fraunhofer plans to use the CogNet as a catalyser and initial support for transfer of the know-

how in the area of telecommunication networks towards machine learning, enabling Fraunhofer

FOKUS with initial knowledge and first proof of concept evaluation on how machine learning

mechanisms can be efficiently introduced and used as part of the management of the 5G core

networks.

Following its aim at bridging the gap between the academia and industry, through applied

research, Fraunhofer is committed to the transfer to the research services it provides to the

industry and to the public sector the research and development results achieved in the project by

means of increasing its own intellectual property and testbed portfolio with novel technologies

and by commercial exploitation through novel industry prototype and pre-product projects.

Specifically these services include know-how transfer in the form of industry conference

participations (such as Informa conferences [34]), organization of FUSECO Forum [26]Error!

Reference source not found., the own industry oriented event as well as own whitepapers and

publications [37]. Additional mechanisms for knowledge transfer include tutorials addressing the

industry market as well as training of external PHD students into advanced research activities.

Major results to be exploited are expected to be in the area of core network and virtual network

service deployments. They will comprise interfaces and system components specification,

including relevant methodology tools addressing the specific issues of standardization bodies

like 3GPP, IETF, NFV, and perhaps others.



As a research institution, Fraunhofer FOKUS will use the results of the CogNet in order to extend

its testbed toolkits portfolio, specifically towards the network orchestration, through the further

augmentation of the open source OpenBaton [35] toolkit with machine learning based decisions.

For commercial exploitation Fraunhofer expects achievements from the extensions of the core

network functionality represented in the Open5GCore [36] towards supporting highly robust and

highly secure features for testbeds through machine learning based virtual network function

orchestration.

Additionally, the 5G Playground [39] will be extended with cognitive situational generation and

benchmarking enabling the compressive evaluation and calibration of integrated third party

components, through this fostering the adoption of new technologies as well as supporting SMEs

to enter into the 5G market.

Publications

Journal, conference or white

paper


Fraunhofer FOKUS FUSECO

FORUM [26]

Own industrial workshop where the industry and academia

gather together for acquiring state of the art know-how. As part

of FUSECO Forum, Fraunhofer maintains a track of half day

tutorials in which each year the advancements into machine

learning would be underlined.

Own whitepapers [37] Fraunhofer FOKUS has a publication track of own whitepapers

motivating research activities into different areas as well as

evaluating different industry products in the area. A whitepaper

in regard to the role of machine learning related research is

planned.

INFORMA and other industry

conferences [34]

Fraunhofer FOKUS is one of the main research partners

participating into INFORMA industry conferences.

Mobile World Congress [38] Fraunhofer has a long standing presence at the MWC with its

own booth, providing live demonstrations of innovative

technologies.

IEEE and Springer Conferences

and Journals (IEEE

Communication Magazine, IIEE

Network, etc)

Fraunhofer FOKUS plans to publish multiple scientific articles on

different wide audience conferences and journals



Table 30 - Fraunhofer's publication targets

Academic activities


Train PhD students Fraunhofer plans to adapt some of the CogNet outputs to prepare PhD

candidates to work in technologically and scientifically advanced

analytics and machine learning for network and cloud environments.

Develop industry

tutorials

Providing on-demand tutorials for various technology stakeholders to

acquire know-how on how machine learning can be integrated into

telecommunication management systems

Table 31 - Fraunofer's planned academic activities


Name of the

project


OpenBaton [35] Extending the open source orchestrator with machine learning related

functionality

Table 32 - Fraunhofer's planned contributions to open source projects


Name of the

involved

product/event


Open5GCore [36] CogNet is expected to provide initial input whether cognitive network

management can be used as part of core networks

5G Playground [39] Cognet is expected to provide input whether cognitive network



management can be used as part of creating a high variety of situational

cases which can be used in the 5G playground for testing and validating

third party components

Table 33 - Fraunhofer's planned contributions to testbed toolkits portfolio



3. References

[1] Waterford Institute of Technology, “TSSG wins €6m EU 5G PPP project”,

http://www.wit.ie/news/research/tssg-wins-6m-eu-5g-project, [Consulted: 08/09/2015].

[2] The Engineers Journal, “Telecommunications Systems and Software Group at WIT secures €6m

in EU funding for 5G project”, http://www.engineersjournal.ie/tssg-secures-e6m-eu-funding-

project, [Consulted: 08/09/2015].

[3] Tipp Tatler Magazine, “European Collaborators Kick Off Meeting of CogNet”,

http://tipptatler.ie/2015/07/european-collaborators-kick-off-meeting-of-cognet, [Consulted:

08/09/2015].

[4] RTÉ News, “Waterford group to work on developing 5G”,

http://www.rte.ie/news/2015/0708/713466-5g-cognet, [Consulted: 08/09/2015].

[5] Fraunhofer FOKUS NGNI News, “CogNet, 5G PPP, Kick-Off”,

https://www.fokus.fraunhofer.de/70e83ceb2f23587c, [Consulted: 08/09/2015].

[6] Vicomtech R&D projects website, “CoGNet 5G PPP project”,

http://www.vicomtech.org/en/pr265/rdi-offer-project-cognet, [Consulted: 08/09/2015].

[7] Youtube, Cognet Playlist,

https://www.youtube.com/watch?v=om1k3LaRr5Y&index=1&list=PLv8ls-

MSqVq6IvTdxuntbiRl8p3rsL_wV, [Consulted: 08/09/2015].

[8] Twitter account, https://twitter.com/5GPPPCogNet

[9] LinkedIn project page, https://www.linkedin.com/grp/home?gid=8353951

[10] Facebook page, https://www.facebook.com/5GPPPCogNet

[11] Youtube channel, https://www.youtube.com/channel/UCv3BjdE2XedmnSOOYLq6E_w

[12] CogNet public website, http://www.cognet.5g-ppp.eu

[13] Openstack, https://www.openstack.org

[14] OPNFV, https://www.opnfv.org

[15] Opendaylight, https://www.opendaylight.org

[16] OpenNMS, www.opennms.org

[17] Doctor, https://wiki.opnfv.org/doctor

[18] Softlayer, http://www.softlayer.com

[19] IBM Netcool,http://www-03.ibm.com/software/products/en/ibmtivolinetcoolomnibus

[20] Apache Spark, http://spark.apache.org

[21] IBM News Room, https://www-03.ibm.com/press/us/en/pressrelease/47107.wss, [Consulted:

21/09/2015]

[22] Mobile World Congress, http://www.mobileworldcongress.com

http://www.wit.ie/news/research/tssg-wins-6m-eu-5g-projecthttp://www.engineersjournal.ie/tssg-secures-e6m-eu-funding-projecthttp://www.engineersjournal.ie/tssg-secures-e6m-eu-funding-projecthttp://tipptatler.ie/2015/07/european-collaborators-kick-off-meeting-of-cognethttp://www.rte.ie/news/2015/0708/713466-5g-cognethttps://www.fokus.fraunhofer.de/70e83ceb2f23587chttp://www.vicomtech.org/en/pr265/rdi-offer-project-cognethttps://www.youtube.com/watch?v=om1k3LaRr5Y&index=1&list=PLv8ls-MSqVq6IvTdxuntbiRl8p3rsL_wVhttps://www.youtube.com/watch?v=om1k3LaRr5Y&index=1&list=PLv8ls-MSqVq6IvTdxuntbiRl8p3rsL_wVhttps://twitter.com/5GPPPCogNethttps://www.linkedin.com/grp/home?gid=8353951https://www.facebook.com/5GPPPCogNethttps://www.youtube.com/channel/UCv3BjdE2XedmnSOOYLq6E_whttp://www.cognet.5g-ppp.eu/https://www.openstack.org/https://www.opnfv.org/https://www.opendaylight.org/http://www.opennms.org/https://wiki.opnfv.org/doctorhttp://www.softlayer.com/http://www-03.ibm.com/software/products/en/ibmtivolinetcoolomnibushttp://spark.apache.org/https://www-03.ibm.com/press/us/en/pressrelease/47107.wsshttp://www.mobileworldcongress.com/



[23] International Conference on Network and Service Management, http://www.cnsm-conf.org

[24] NEMA Europe, http://www.nema-event.com

[25] EUCnC, www.eucnc.eu

[26] Fraunhofer FOKUS Fuseco, https://www.fokus.fraunhofer.de/go/fuseco-forum-2015

[27] OpenLTE, http://openlte.sourceforge.net

[28] NVO3, https://datatracker.ietf.org/wg/nvo3/documents

[29] NFVRG, https://trac.tools.ietf.org/group/irtf/trac/wiki/nfvrg

[30] NFV ISG, http://www.etsi.org/technologies-clusters/technologies/nfv

[31] NFV MANO, https://www.sdxcentral.com/resources/nfv/nfv-mano

[32] Wayra, http://www.wayra.org

[33] OpenMANO, https://github.com/nfvlabs/openmano

[34] Informa telecoms & media events http://www.informatandm.com/section/all-events,

[Consulted: 08/09/2015].

[35] Fraunhofer FOKUS OpenBaton – an open source ETSI NFV MANO implementation,

http://openbaton.github.io, [Consulted: 28/09/2015].

[36] Fraunhofer FOKUS Open5GCore – mirroring the advancements towards 5G core networks,

http://www.open5gcore.org, [Consulted: 28/09/2015].

[37] Fraunhofer FOKUS: Towards the 5G Environment _ Making Research Steps with Meaningful

Results Whitepaper, August 2014, http://www.open5gcore.org/download/Open5GCore-

Whitepaper_Deckblatt_v02.pdf

[38] Mobile World Congress, http://www.mobileworldcongress.com

[39] Fraunhofer FOKUS 5G Playground, https://5g-playground.org
http://www.cnsm-conf.org/http://www.nema-event.com/http://www.eucnc.eu/https://www.fokus.fraunhofer.de/go/fuseco-forum-2015http://openlte.sourceforge.net/https://datatracker.ietf.org/wg/nvo3/documentshttps://trac.tools.ietf.org/group/irtf/trac/wiki/nfvrghttp://www.etsi.org/technologies-clusters/technologies/nfvhttps://www.sdxcentral.com/resources/nfv/nfv-manohttp://www.wayra.org/https://github.com/nfvlabs/openmanohttp://www.informatandm.com/section/all-eventshttp://openbaton.github.io,/http://www.open5gcore.org/http://www.open5gcore.org/download/Open5GCore-Whitepaper_Deckblatt_v02.pdfhttp://www.open5gcore.org/download/Open5GCore-Whitepaper_Deckblatt_v02.pdfhttp://www.mobileworldcongress.com/https://5g-playground.org/

d7.2 communication and dissemination strategy · 2016. 4. 28. · d 7.2.1 – communication and...

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