Adaptive Fair Resource Allocation for Energy and QoS Trade-Off Management
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- HARADA Fumiko
- College of Information Science and Engineering, Ritsumeikan University
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- USHIO Toshimitsu
- Graduate School of Engineering Science, Osaka University
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- NAKAMOTO Yukikazu
- Graduate School of Applied Informatics, University of Hyogo
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Abstract
In real-time embedded systems, there is requirement for adapting both energy consumption and Quality of Services (QoS) of tasks according to their importance. This paper proposes an adaptive power-aware resource allocation method to resolve a trade-off between the energy consumption and QoS levels according to their importance with guaranteeing fairness. The proposed resource allocator consists of two components: the total resource optimizer to search for the optimal total resource and QoS-fairness-based allocator to allocate resource to tasks guaranteeing the fairness. These components adaptively achieve the optimal resource allocation formulated by a nonlinear optimization problem with the time complexity O(n) for the number of tasks n even if tasks' characteristics cannot be identified precisely. The simulation result shows that the rapidness of the convergence of the resource allocation to the optimal one is suitable for real-time systems with large number of tasks.
Journal
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- IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
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IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E91-A (11), 3245-3252, 2008
The Institute of Electronics, Information and Communication Engineers
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Details 詳細情報について
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- CRID
- 1390001206309968384
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- NII Article ID
- 10026853342
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- NII Book ID
- AA10826239
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- ISSN
- 17451337
- 09168508
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- Text Lang
- en
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed