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Challenges & Proposals

Department of Electronic Engineering. Challenges & Proposals. INFSO Information Day e-Infrastructure Grid Initiatives 26/27 May 2005, Brussels. e.m.scharf@elec.qmul.ac.uk. GRID - Project. IST Aims Instrument: STREP or part of IP Initiative: e-Infrastructure Grid Main Aims of GRID

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Challenges & Proposals

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  1. Department of Electronic Engineering Challenges & Proposals INFSO Information Day e-Infrastructure Grid Initiatives 26/27 May 2005, Brussels e.m.scharf@elec.qmul.ac.uk

  2. GRID - Project IST Aims • Instrument: STREP or part of IP • Initiative: e-Infrastructure Grid Main Aims of GRID • Accessible to everyman, • Independent of the application and its expected solution • Independent of any particular GRID technology – computing or network • Re-configurability: ability to create re-configurable GRID infrastructures Rationale of GRID – Dynamic Resource Aggregation • Complex and Challenging Tasks • Lower Cost of Computing • Accessibility to all, not just large organisations • Sharing of Resources – e.g. databases, computation • Collaboration – Virtual Organisations Features of GRID • Users: individual, small business and industrial • Access: to large amounts of computing, network and storage resources • Access: rapid and cost effective • Flexibility: allow users to create their own GRID networks. • Merge: computer and communication technologies - 2 -

  3. GRID - Project GRID portal User interface Resource and service discovery Integration with existing grid infrastructures Scheduling and resource reservation FCAPS e.g. Security & Fault tolerance 1- GRID management & overlay Support dynamic GRID services Integrate computation, comms, storage & info Active programmable services: library & toolkit FCAPS – e.g. security Support highly-coupled (meta-cluster) & loosely-coupled (large scale) configurations. 3 - GRID-aware computational, storage, comms & info components 2- programmable and reconfigurable GRIDs - 3 -

  4. Technologies for GRID Intelligence • Software Agents, AI Techniques Computing • Task Scheduling • Resources: Computation, Storage Communications • Mobile: Ad-Hoc, WiMax, WiFi, … • Fixed: IP, ATM, … • FCAPS - 4 -

  5. Some Work at QMUL • Cross-Domain Negotiation • Self-Diagnosis and Self-Test • Critical Infrastructure Protection • Ad Hoc Networks • Numerous IST Projects - 5 -

  6. Regulator SP Dealers SP SP SP SP user NP user NP Clients = Traders user Clearing House Management of Services & Networks Enabling Cross-domain Negotiation • Negotiation Techniques • SP and NP negotiation (proactive and real time) in business to business models – e.g. SHUFFLE project on 3G networks • New negotiation protocols. Published results on quote driven market. Less dependant on strategy and efficient – so very suitable for use in autonomous entities. Extend work to negotiation protocols appropriate to SLAs • Measurements to Support SLAs • Hybrid measurement techniques using combinations of passive queue monitoring and selective probing to obtain an accurate assessment of end-to-end performance. Quote Driven Market: the dealer (market maker) acts as the intermediary between the buyers and sellers. - 6 -

  7. Management of Services & Networks Self-Diagnosis and Self-Test Fault Diagnosis & Prediction in the Connected Home • Mechanisms for reasoning about fault conditions within home networks. • Techniques for collaborative and holistic fault diagnosis and reasoning • Evaluate the use of end to end agent based architectures for second generation home networks to augment OSGi structures • Implement a pro-active fault analysis system as a proof of concept demonstrator within a distributed home environment GUI Modeller Monitor GUI Monitor GUI Monitor Reporter GUI Coordi- nator GUI Analyser GUI GUI Networked Fault Diagnosis Node - 7 -

  8. Critical Infrastructure Protection Systems must be are protected from attacks and accidents • using approaches that are not signature based - need novel anomaly detectors geared towards invariants and features of the domain • Need ways of correlating information from anomaly detectors , IDS etc. • Need components where their autonomy adjusts with the context Agent-based critical infrastructure • We have developed for telecom and electricity domains: • an agent architecture • new anomaly detectors and • a correlation mechanism that gives a framework to follow many lines of uncertain reasoning and the temporal evolution of attacks Further Development • We want to develop further our approach in the telecommunications domain - 8 -

  9. Contact Dr Eric M. Scharf Department of Electronic Eng. Queen Mary, University of London Mile End Road London E1 4NS, U.K. tel +44-20-7882-5343 mbl 07771 673928 fax +44/0-20-7882-7997 eml e.m.scharf@elec.qmul.ac.uk - 9 -

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