Adaptive Arbitration of Fair QoS Based Resource Allocation in Multi-Tier Computing Systems
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概要
- 論文の詳細を見る
This paper proposes an adaptive resource allocation for multi-tier computing systems to guarantee a fair QoS level under resource constraints of tiers. We introduce a multi-tier computing architecture which consists of a group of resource managers and an arbiter. Resource allocation of each client is managed by a dedicated resource manager. Each resource manager updates resources allocated to subtasks of its client by locally exchanging QoS levels with other resource managers. An arbiter compensates the updated resources to avoid overload conditions in tiers. Based on the compensation by the arbiter, the subtasks of each client are executed in corresponding tiers. We derive sufficient conditions for the proposed resource allocation to achieve a fair QoS level avoiding overload conditions in all tiers with some assumptions on a QoS function and a resource consumption function of each client. We conduct a simulation to demonstrate that the proposed resource allocation can adaptively achieve a fair QoS level without causing any overload condition.
- (社)電子情報通信学会の論文
- 2010-09-01
著者
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Kanazawa Takafumi
Division Of Mathematical Sciences For Social Systems Department Of Systems Innovation Graduate Schoo
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Ushio Toshimitsu
Division Of Mathematical Sciences For Social Systems Department Of Systems Innovation Graduate Schoo
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Ushio Toshimitsu
Division Of Mathematical Science For Social Systems Department Of Systems Innovation Graduate School
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Ushio Toshimitsu
Osaka Univ. Toyonaka‐shi Jpn
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HAYASHI Naoki
Division of Mathematical Science for Social Systems, Department of Systems Innovation, Graduate Scho
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Ushio Toshimitsu
Division Of Mathematical Sciences For Social Systems Department Of Systems Innovation Graduate Schoo
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Kanazawa Takafumi
Division Of Mathematical Science For Social Systems Department Of Systems Innovation Graduate School
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Hayashi Naoki
Division Of Mathematical Science For Social Systems Department Of Systems Innovation Graduate School
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Hayashi Naoki
Division Of Mathematical Science For Social Systems Department Of Systems Innovation Graduate School
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