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The emerging computational grid infrastructure consists of widely distributed heterogeneous resources, which makes mapping of increasingly complex applications a very challenging task. Utility Management Systems (UMS) manage large number of workflows with high resource requirements and thereby optimization of resource utilization has to be adapted. In this work we propose the architecture that implements...
This paper focuses on grid performance optimization in large scale workflow applications with an intelligent workflow scheduling mechanism. Utility Management Systems (UMS) are managing very large numbers of workflows with very high resource requirements. This paper proposes a UMS scheduling architecture which dynamically executes a scheduling algorithm using near real-time feedback about the current...
The emerging computational grid infrastructure consists of heterogeneous resources in widely distributed autonomous domains, which makes job scheduling very challenging. Although there is much work on static scheduling approaches for workflow applications in parallel environments, little work has been done on a real-world Grid environment for industrial systems. Utility Management Systems (UMS) are...
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