The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Kertas kerja ini mencadangkan peruntukan sumber adaptif untuk sistem pengkomputeran berbilang peringkat untuk menjamin tahap QoS yang adil di bawah kekangan sumber peringkat. Kami memperkenalkan seni bina pengkomputeran berbilang peringkat yang terdiri daripada sekumpulan pengurus sumber dan penimbang tara. Peruntukan sumber setiap pelanggan diuruskan oleh pengurus sumber yang berdedikasi. Setiap pengurus sumber mengemas kini sumber yang diperuntukkan kepada subtugas pelanggannya dengan menukar tahap QoS secara tempatan dengan pengurus sumber lain. Seorang penimbang tara memberi pampasan kepada sumber yang dikemas kini untuk mengelakkan keadaan beban berlebihan dalam peringkat. Berdasarkan pampasan oleh pengadil, subtugas setiap pelanggan dilaksanakan dalam peringkat yang sepadan. Kami memperoleh syarat yang mencukupi untuk peruntukan sumber yang dicadangkan untuk mencapai tahap QoS yang saksama mengelakkan keadaan beban berlebihan dalam semua peringkat dengan beberapa andaian pada fungsi QoS dan fungsi penggunaan sumber setiap pelanggan. Kami menjalankan simulasi untuk menunjukkan bahawa peruntukan sumber yang dicadangkan secara adaptif boleh mencapai tahap QoS yang saksama tanpa menyebabkan sebarang keadaan beban berlebihan.
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Salinan
Naoki HAYASHI, Toshimitsu USHIO, Takafumi KANAZAWA, "Adaptive Arbitration of Fair QoS Based Resource Allocation in Multi-Tier Computing Systems" in IEICE TRANSACTIONS on Fundamentals,
vol. E93-A, no. 9, pp. 1678-1683, September 2010, doi: 10.1587/transfun.E93.A.1678.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E93.A.1678/_p
Salinan
@ARTICLE{e93-a_9_1678,
author={Naoki HAYASHI, Toshimitsu USHIO, Takafumi KANAZAWA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Adaptive Arbitration of Fair QoS Based Resource Allocation in Multi-Tier Computing Systems},
year={2010},
volume={E93-A},
number={9},
pages={1678-1683},
abstract={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.},
keywords={},
doi={10.1587/transfun.E93.A.1678},
ISSN={1745-1337},
month={September},}
Salinan
TY - JOUR
TI - Adaptive Arbitration of Fair QoS Based Resource Allocation in Multi-Tier Computing Systems
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1678
EP - 1683
AU - Naoki HAYASHI
AU - Toshimitsu USHIO
AU - Takafumi KANAZAWA
PY - 2010
DO - 10.1587/transfun.E93.A.1678
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E93-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 2010
AB - 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.
ER -