Service Oriented Infrastucture WG

The Service Oriented Infrastructure WG is focused on the new generation of ITC infrastructures that will support development and execution of component services and their provision as utilities. It will focus on designing a detailed research agenda on the following areas:

  • Service abstraction and virtualisation: Architectures, languages and tools that enable (1) provision of services as utilities supporting different levels of abstraction and virtualisation of resources, dynamic monitoring of SLAs that are internal to service containers and the dynamic reallocation of services; (2) reliable, multi-protocol dynamic binding, with endpoint virtualisation; (3) user device based ownership and management of profiles, service runtime properties, histories and content investigating the adoption of semantic technologies; (4) any device as a service endpoint: evolution to complex and extremely distributed scenarios on very different scales of machines, starting from Grid based systems down to PDAs and RFIDs; (5) multi-scale challenges, including architectural (organizing and structuring systems at different scales using component-based middleware and software engineering) and algorithmic (P2P algorithms and systems) for adapting the infrastructure to domain specific needs.

  • Inherently Stable and Safe Architectures: Research, identify, and document principles and architectures that confer a high degree of stability, predictability, and trust to infrastructures and related deployed systems when considered from an end-to-end perspective. Also includes an analysis of those elements most contributing to a lack of reliability.

  • Decision Support and Automation tools for IT Service Management: Development of automation and decision support tools aimed at improving the efficiency and effectiveness of IT service delivery and support including modelling, simulation and optimisation. This includes the following aspects: (1) IT Service and Resource Models (model IT changes and their dependencies), (2) Risk and impact analysis (assess IT failure/changes risk and impact), (3) IT Planning (how to better plan for IT services); (4) advanced and optimised resource scheduling and allocation/reallocation mechanisms.

  • Technology bases for wide scale computing utility: new generation of operating systems for resources virtualisation, dynamic composition, allocation and support for autonomic behaviour, including computing, storage and networking with the aim of data-centres virtualisation.
It is anticipated that work will be carried out on identifying research topics around networked operating systems, advanced service containers and emerging concepts in the area of Grid.