Adaptive resource management for dynamic distributed real-time applications |
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Authors: | Eui-Nam Huh Lonnie R Welch |
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Affiliation: | (1) Department of Computer Engineering, Kyung Hee University, 1 Seochon, Kihung, Yongin, Kyungki-Do, Korea;(2) Center for Intelligent, Distributed and Dependable Systems (CIDDS), School of EECS, Ohio University, Athens, Ohio, USA |
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Abstract: | The dynamic distributed real-time applications run on clusters with varying execution time, so re-allocation of resources
is critical to meet the applications’s deadline. In this paper we present two adaptive recourse management techniques for
dynamic real-time applications by employing the prediction of responses of real-time tasks that operate in time sharing environment
and run-time analysis of scheduling policies. Prediction of response time for resource reallocation is accomplished by historical
profiling of applications’ resource usage to estimate resource requirements on the target machine and a probabilistic approach
is applied for calculating the queuing delay that a process will experience on distributed hosts. Results show that as compared
to statistical and worst-case approaches, our technique uses system resource more efficiently. |
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Keywords: | Adaptive Resource management Distributed Real-time Dynamic systems Profiling Contention Queuing delay Prediction |
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