Adaptive Execution of Jobs in Computational Grid Environment |
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Authors: | Sarbani Roy Nandini Mukherjee |
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Affiliation: | Department of Computer Science and Engineering, Jadavpur University, Kolkata 700 032, India |
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Abstract: | In a computational grid, jobs must adapt to the dynamically changing heterogeneous environment with an objective of maintaining
the quality of service. In order to enable adaptive execution of multiple jobs running concurrently in a computational grid, we propose an integrated
performance-based resource management framework that is supported by a multi-agent system (MAS). The multi-agent system initially
allocates the jobs onto different resource providers based on a resource selection algorithm. Later, during runtime, if performance
of any job degrades or quality of service cannot be maintained for some reason (resource failure or overloading), the multi-agent
system assists the job to adapt to the system. This paper focuses on a part of our framework in which adaptive execution facility
is supported. Adaptive execution facility is availed by reallocation and local tuning of jobs. Mobile, as well as static agents
are employed for this purpose. The paper provides a summary of the design and implementation and demonstrates the efficiency
of the framework by conducting experiments on a local grid test bed. |
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Keywords: | |
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