eubra-bigsea presentation at 2nd international workshop on quality-aware devops (qudos 2016), 21...

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Danilo Ardagna Politecnico di Milano Directorate General for Communications Networks, Content and Technology Software and Services, Cloud @BIGSEA_EUBR www.eubra-bigsea.eu

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Page 1: EUBra-BIGSEA Presentation at 2nd International Workshop On Quality-Aware Devops (Qudos 2016), 21 July 2016, Saarbrücken, Germany

Danilo ArdagnaPolitecnico di Milano

Directorate General for Communications Networks, Content and TechnologySoftware and Services, Cloud

@BIGSEA_EUBR www.eubra-bigsea.eu

Page 2: EUBra-BIGSEA Presentation at 2nd International Workshop On Quality-Aware Devops (Qudos 2016), 21 July 2016, Saarbrücken, Germany

…. to create a sustainable international (European and Brazilian) cooperation activity in the area of cloud services for

Big Data analytics

Which aims at: …developing a framework for ensuring the QoS of data

analytics services on top of cloud computing infrastructures ensuring security and privacy

EUBra-BIGSEA What do we want to do?

EUBra-BIGSEA H2020-690116

Page 3: EUBra-BIGSEA Presentation at 2nd International Workshop On Quality-Aware Devops (Qudos 2016), 21 July 2016, Saarbrücken, Germany

EUBra-BIGSEA ConsortiumProven track record of cooperation with Brazil

UPV, ES

BSC, ES

Trust-IT, UK

CMCC, IT

UFMG, MG

POLIMI, IT

UC, PT

UTFPR, PR

UFCG, PB

IBM, SP/RJ

UNICAMP, SP

Skills in: Cloud Computing Computing Infrastructures

Cloud & Data Standards Data AnalyticsQuality of Service

Big Data applications

EUBra-BIGSEA H2020-690116

Page 4: EUBra-BIGSEA Presentation at 2nd International Workshop On Quality-Aware Devops (Qudos 2016), 21 July 2016, Saarbrücken, Germany

Practical Contributions• A BigData Analytics platform

― A QoS layer for IaaS, agnostic to the cloud provider (including containers), with automatic horizontal and vertical elasticity

― Customized for BigData and High Performance Computing applications― A privacy and security framework suitable for performing efficiently on Big

Data applications.― A programming model bridging to data analytics and QoS functionality,

independent of the IaaS provider.

• A real use case implemented on top of the platform for the analysis of data from massively connected societies.

• Transfer of the technology to external projects, institutions or entities.

― The technology will be released under Open-Source licenses.― An international research community on Clouds and Big Data.

EUBra-BIGSEA H2020-690116

Page 5: EUBra-BIGSEA Presentation at 2nd International Workshop On Quality-Aware Devops (Qudos 2016), 21 July 2016, Saarbrücken, Germany

Contacts

IGNACIO BLANQUER EU Coordinator Universitat Politècnica de València

I3M – CPI [email protected]

WAGNER MEIRA JR. BR Coordinator

Universidade Federal de Minas Gerais

Computer Science Dept.

[email protected]

EUBra-BIGSEA H2020-690116

@BIGSEA_EUBR www.eubra-bigsea.eu