User Centric Job Management In Grid Using Multiple Agents An Unified Approach

It has always been accepted that a community of HPC users requires interactive, on demand access to HPC resources. Grid middleware technologies have been aimed at the execution of the sequential batch jobs which is a dominating paradigm, while lacking support for interactive applications. The reason is that grid middleware was developed for compute intensive jobs, which may run for a long time before a result becomes available, which may sometimes leads to unattended execution of jobs. To extend this application domain by providing interactivity support to the users, Agent based technology is used. The research work which is explored and partially implemented considers various aspects of interactive job management in the grid enviroment.This paper explores the specific nature of scheduling the grid based interactive jobs which is closely analyzed and reveals the complex approach adopted by intelligent and multiagent technology.

An agent-based grid computing infrastructure

The conventional computing grid has developed a service oriented computing architecture with a super-local, two commit scheduling strategy. This architecture is limited in modeling open systems with highly dynamic and autonomous computing resources due to its server-based computing model. The use of super-local scheduling strategy also limits the utilization of the computing resources. In this paper, we propose a multi-agent based grid computing infrastructure to tackle the above issues, while provide reasonable compatibility and interoperability with the conventional grid systems and clients. Compared with the existing grids, the new infrastructure is leveraged by the intelligent agents, and therefore is more efficient and flexible for open systems