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The concept of Grid computing emerged within a project designed to link wide-area supercomputing resources for computational and collaborative science. Over the past four years the perceived impact of this model of computing has signalled a fundamental change of approach towards future computing and has challenged the assumptions underlying it. Over the next decade Grids will integrate low-cost commodity clusters, supercomputers, large-scale storage facilities, remote data sensors and mobile computing devices; the result will be a number of geographically distributed, unified computing resources which provide computing power `on demand' and which access `unlimited' data.
Recent investment in e-science, e-business, e-learning and e-government has placed significant emphasis on the development and integration of supporting Grid resources. It is widely recognised that in order to build these Grids it will be necessary to develop and deploy a number of supporting middleware services, for resource discovery, scheduling, configuration and performance management, and quality of service, etc.
This talk focuses on a number of these middleware activities, the development of which is facilitated through the ongoing research collaboration between the High Performance Systems Group at the University of Warwick and IBM's T J Watson Research Center.
