proxim-cbr: a scalable grid service network for mobile decision support

UK e-Science DAME Project | UK DTI BROADEN Project

All Hands Meeting 19th September 2006

Proxim-CBR: A Scalable Grid ServiceProxim-CBR: A Scalable Grid ServiceNetwork for Mobile Decision SupportNetwork for Mobile Decision Support

Max OngMuhammad Alkarouri

Rolls-Royce University Technology Centre in Control & Systems EngineeringDepartment of Automatic Control & Systems Engineering

The University of Sheffield, UK.



Motivation for DAMEMotivation for DAME

• Rolls-Royce Power-by-the-Hour

• Increasing amount of engine data being collected• New engine monitoring units record up to

1Gbyte of data per flight• Rolls-Royce have over 54,000 engines in

service• Total operations of ~10M flying hours

p/month• In future, Terabytes of data could be

transmitted every day for analysis

• Key objectives• Reduce delays• Reduce cost of ownership for the aircraft



Grid Computing Grid Computing

• The Grid is a scalable network of supercomputers linked via high bandwidth networks

• The Grid provides on-demand compute resources for• compute-intensive processes• data intensive applications• collaborative computing

• Enables flexible, secure, co-ordinated resource sharing across geographical and commercial boundaries (Virtual Organisations)

World-Wide Web(WWW)

Global GridEnvironment

DataStorage

Slave processingnodes

Masternode

AdditionalResources

...

Local Gridenvironment

DataStorage


Masternode

AdditionalResources

...


DataStorage


Masternode

AdditionalResources

...




Introduction to DAMEIntroduction to DAME

• UK e-Science Grid pilot project (2002-2005)

• Funded by EPSRC

• To develop and promote understanding of

• Grid middleware

• Grid application/services integration

• Real time issues in Grid computing

• Security and dependability issues

• Delivered a “Proof of Concept” Grid demonstrator application for the Rolls-Royce aero-engine diagnostic problem

http://www.rolls-royce.com/

http://www.ds-s.com/

http://www.cybula.com/



• Four UK universities:• University of York

Dept of Computer Science• University of Sheffield

Dept of Automatic Control & Systems Engineering

• University of OxfordDept of Engineering Science

• University of LeedsSchool of Computing and School of Mechanical Engineering

• Industrial Partners:• Rolls-Royce plc• Data Systems and Solutions• Cybula Ltd

Project PartnersProject Partners



BROADEN IntroductionBROADEN Introduction

• Business Resource Optimisation for Aftermarket and Design on Engineering Networks (BROADEN)

• funded by DTI

• Project aim: To build a RR internal GRID as a proving ground for utilizing Web/Grid service technology to fully exploit available IT resources

• Jan 2005 – April 2007



Engine Modelling & Simulation Engine Modelling & Simulation ServiceService

• Perform engine performance simulation for FDI

• Based on a complex Rolls-Royce Trent 500 engine model – very compute intensive!

• Deployed as a service on the Grid

• Accessible by user via a web browser across the Internet

• Grid factories enable parallel execution of multiple engine simulation instances

• Secure authentication for user and hosts, SSL data encryption



CBR Advisor SystemCBR Advisor System

• Perform fault analysis, knowledge management and data fusion with Case-Based Reasoning technology

• CBR links together knowledge that belong together:

• information concerning the fault• response to the fault• effects of those responses

• Advises maintenance personnel on appropriate maintenance action

• Deployed as a service on the Grid

• Accessible by remote user via a web browser across the Internet



DAME Grid PortalDAME Grid Portal



Grid Computing Environment

DecisionDecisionSupportSupportServicesServices

High-performance computing On-Demand

• Access to Grid-enabled services from mobile devices can be very effective in business environments

• Grid computing empowers a remote, mobile user with resources not normally available while working out on the field:

• Access to vast computing power

• Use of compute-intensive applications

• Access to large data repositories

These can be made available via Web/Grid Services

Mobile Grid-Based Decision SupportMobile Grid-Based Decision Support





High-performance computing On-Demand

• Huge quantities of data to process and store

• CBR technology is inherently parallelizable

• Service Oriented Architecture enables flexible and scalable use of resources

These can be made available via Web/Grid Services

Distributed CBR for Decision SupportDistributed CBR for Decision Support





Collaborative Decision Support On-line

• An aircraft engine expert is usually regarded as a high value resource.

• As such, he/she needs to be highly accessible at various times, to investigate problems under demanding circumstances.

• Using the Grid as a collaborative computing platform to have a virtual network of experts, who are usually at different geographical locations.

• The ability of an engineer to capture investigative findings on-site and instantly upload these findings to the Grid-based system, using mobile access, greatly increases the accuracy of the CBR system in diagnosing the problem.

The Case for Mobile Grid AccessThe Case for Mobile Grid Access



• A small device such as a PDA presents various constraints such as

• Limited processing power

• Limited memory

• Small display area

• Small network bandwidth

• The complexity of platforms and APIs used in such constraints is limited

• These constraints were taken into account in the design of a PDA demonstrator

Limitations on a Typical DeviceLimitations on a Typical Device



...

LocalCases

CBRSearch

CBR Service Node

Remote Node host environment

CBR BrokerService

Registry of service nodes

Broker host environment

...

LocalCases

CBRSearch

CBR Service Node


LocalCases

CBRSearch

CBR Service Node


Proxim-CBR Grid Service Proxim-CBR Grid Service NetworkNetwork

Proxy Service

Broker registry

Proxy host environment

PDA Mobile Monitor Service

AQPs

PROXIM-CBR Grid Service Network



Service NodesService Nodes

PROXIM-CBR Grid Service Network

• Proxim Service Node– Typically at point of data capture– Contains a CBR Engine– Hosts a repository of cases

• Proxim Broker Service Node– Receives requests from proxy service nodes, or directly from CBR portal– Maintains a registry of service nodes– Distributes query requests to service nodes, and summarizes results

• Proxy Service Node– Provides access to handhelds– Maintains a registry of available brokers



...

LocalCases

CBRSearch

CBR Service Node


CBR BrokerService

Registry of service nodes

Broker host environment

...

LocalCases

CBRSearch

CBR Service Node


LocalCases

CBRSearch

CBR Service Node


Demo: Mobile Distributed Demo: Mobile Distributed Health MonitoringHealth Monitoring

Proxy Service

Broker registry

Proxy host environment

PDA Mobile Monitor Service

AQPs

PROXIM for PDA-based remote, distributed condition monitoring



Event Simulator – injects engine fault information at the remote, distributed nodes to simulate engine problem conditions

• Flight HKA-8283: Damaged fan blade or mass loss (lock tab) - location Hong Kong

• Flight GBA-1313: Single blade loss or oil in drum - location UK

Demo: Mobile Distributed Health Demo: Mobile Distributed Health MonitoringMonitoring



Proxim Mobile Monitor – online, real-time summary from the distributed health monitoring system

The problem

Confidence of the match

Where it occured

ID for further online

investigation

Summary is continuously generated

Operator




Event Simulator – injects ship fault information at the remote, distributed nodes to simulate problem conditions

• Ship HKISC-8283: - Waterjet steering actuator worn or engine overheat - location Hong Kong

• Ship GBSC-1313: Fire in cargo bay or Supervisory Control switched to backup - location UK

Example: Remote Ship Example: Remote Ship Condition MonitoringCondition Monitoring



• Grid computing from mobile devices can be very effective in a decision support environment

• Service oriented architecture enables business/engineering processes to be examined so that services can be provided to 'accurately and sufficiently' support core operations, providing flexibility for a more dynamic management of resources and processes

ConclusionsConclusions



• “Service-Oriented Architecture on the Grid for Integrated Fault Diagnostics”– Journal of Concurrency and Computation

• “Scaleable Grid Service Network for Mobile Decision Support”– E-Science AHM2006 conference (Sept 2006)

• “Grid-Based Decision Support with Pro-Active Mobile Computing”– IEEE Int'l Conference on Services Computing (IEEE-SCC2005)

• “Decision Support System on The Grid” (Best Paper Award)– Int'l Journal of Knowledge-Based & Intelligent Engineering Systems

• “Modelling, Optimisation and Decision Support Using the Grid”– E-Science AHM2005 conference

Recent PapersRecent Papers

proxim-cbr: a scalable grid service network for mobile decision support

Documents