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Intelligent Scheduling for Quality of ServiceStart date: 01/10/2009 Duration: 42 months Funding body: EPSRC This project is aimed at producing a new type of Grid resource broker with an advanced scheduling component to enforce Quality of Service (QoS) provision. The main objectives of the project are split into two categories: those related to the overall design of a resource broker and those related to the design of its scheduling component. The research areas are addressed by two teams: scheduling (N. Shakhlevich, A. Grekioti) and Grid computing (K. Djemame, R. Kavanagh). The novel contribution of the proposed project is to produce a new type of Grid resource broker with an advanced scheduling component aimed at optimising both resource usage costs and applications' execution times to enforce QoS. This research is timely in that it addresses the need for continued development of infrastructure support for Grid/Cloud computing. It responds to the increased attention of the Grid/Cloud community to QoS provision and higher expectations of Grid users to receive adequate services at an agreed price payable for the agreed execution time. This research will take advantage of the achievements in the classical scheduling theory and Grid scheduling research, and will advance the frontiers of both areas. Grid applications give rise to new enhanced scheduling models, which generally cannot be handled by the existing scheduling techniques developed mainly for manufacturing applications. They are characterised by complex additional constraints including those related to data storage and data transfer, co-ordinating the execution of linked tasks and arranging the required data interchange.
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