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
Dalam sistem terbenam masa nyata, terdapat keperluan untuk menyesuaikan penggunaan tenaga dan Kualiti Perkhidmatan (QoS) tugasan mengikut kepentingannya. Kertas kerja ini mencadangkan kaedah peruntukan sumber sedar kuasa adaptif untuk menyelesaikan pertukaran antara penggunaan tenaga dan tahap QoS mengikut kepentingannya dengan menjamin keadilan. Pengalokasi sumber yang dicadangkan terdiri daripada dua komponen: jumlah pengoptimum sumber untuk mencari jumlah sumber optimum dan pengalokasi berasaskan keadilan QoS untuk memperuntukkan sumber kepada tugas yang menjamin keadilan. Komponen ini secara adaptif mencapai peruntukan sumber optimum yang dirumuskan oleh masalah pengoptimuman tak linear dengan kerumitan masa O(n) untuk bilangan tugas n walaupun ciri-ciri tugasan tidak dapat dikenal pasti dengan tepat. Keputusan simulasi menunjukkan bahawa kepantasan penumpuan peruntukan sumber kepada yang optimum adalah sesuai untuk sistem masa nyata dengan bilangan tugas yang besar.
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Salinan
Fumiko HARADA, Toshimitsu USHIO, Yukikazu NAKAMOTO, "Adaptive Fair Resource Allocation for Energy and QoS Trade-Off Management" in IEICE TRANSACTIONS on Fundamentals,
vol. E91-A, no. 11, pp. 3245-3252, November 2008, doi: 10.1093/ietfec/e91-a.11.3245.
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.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e91-a.11.3245/_p
Salinan
@ARTICLE{e91-a_11_3245,
author={Fumiko HARADA, Toshimitsu USHIO, Yukikazu NAKAMOTO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Adaptive Fair Resource Allocation for Energy and QoS Trade-Off Management},
year={2008},
volume={E91-A},
number={11},
pages={3245-3252},
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. },
keywords={},
doi={10.1093/ietfec/e91-a.11.3245},
ISSN={1745-1337},
month={November},}
Salinan
TY - JOUR
TI - Adaptive Fair Resource Allocation for Energy and QoS Trade-Off Management
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 3245
EP - 3252
AU - Fumiko HARADA
AU - Toshimitsu USHIO
AU - Yukikazu NAKAMOTO
PY - 2008
DO - 10.1093/ietfec/e91-a.11.3245
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E91-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2008
AB - 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.
ER -