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".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Em sistemas embarcados de tempo real, há necessidade de adaptação tanto do consumo de energia quanto da Qualidade de Serviços (QoS) das tarefas de acordo com sua importância. Este artigo propõe um método adaptativo de alocação de recursos com consciência de energia para resolver um trade-off entre o consumo de energia e os níveis de QoS de acordo com sua importância, garantindo justiça. O alocador de recursos proposto consiste em dois componentes: o otimizador de recursos total para procurar o recurso total ideal e o alocador baseado em justiça de QoS para alocar recursos para tarefas que garantem a justiça. Esses componentes alcançam de forma adaptativa a alocação ideal de recursos formulada por um problema de otimização não linear com a complexidade de tempo O(n) para o número de tarefas n mesmo que as características das tarefas não possam ser identificadas com precisão. O resultado da simulação mostra que a rapidez da convergência da alocação de recursos para a alocação ótima é adequada para sistemas de tempo real com grande número de tarefas.
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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
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@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},}
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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 -