Department of Electronic Engineering Challenges & Proposals INFSO Information Day e-Infrastructure Grid Initiatives 26/27 May 2005, Brussels

Queen Mary University of London EU-IST e-Infrastructure - GRID 26/7th May 2005 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

Queen Mary University of London EU-IST e-Infrastructure - GRID 26/7th May 2005 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. User interface Resource and service discovery Integration with existing grid infrastructures Scheduling and resource reservation FCAPS e.g. Security & Fault tolerance GRID portal programmable and reconfigurable GRIDs GRID-aware computational, storage, comms & info components GRID management & overlay GRID - Project

Queen Mary University of London EU-IST e-Infrastructure - GRID 26/7th May 2005 Technologies for GRID Intelligence Software Agents, AI Techniques Computing Task Scheduling Resources: Computation, Storage Communications Mobile: Ad-Hoc, WiMax, WiFi, … Fixed: IP, ATM, … FCAPS

Queen Mary University of London EU-IST e-Infrastructure - GRID 26/7th May 2005 Some Work at QMUL Cross-Domain Negotiation Self-Diagnosis and Self-Test Critical Infrastructure Protection Ad Hoc Networks Numerous IST Projects

Queen Mary University of London EU-IST e-Infrastructure - GRID 26/7th May 2005 Enabling Cross-domain Negotiation 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. SP user NP Clearing House Regulator Dealers Clients = Traders SP Quote Driven Market: the dealer (market maker) acts as the intermediary between the buyers and sellers.

Queen Mary University of London EU-IST e-Infrastructure - GRID 26/7th May 2005 Self-Diagnosis and Self-Test 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 Monitor GUI Monitor Modeller Coordi- nator Analyser Reporter GUI Monitor GUI Networked Fault Diagnosis Node

Queen Mary University of London EU-IST e-Infrastructure - GRID 26/7th May 2005 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 Critical Infrastructure Protection

Queen Mary University of London EU-IST e-Infrastructure - GRID 26/7th May 2005 Contact Dr Eric M. Scharf Department of Electronic Eng. Queen Mary, University of London Mile End Road London E1 4NS, U.K. tel mbl fax +44/ eml