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首页> 外文期刊>IEICE Transactions on fundamentals of electronics, communications & computer sciences >Adaptive Arbitration of Fair QoS Based Resource Allocation in Multi-Tier Computing Systems
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Adaptive Arbitration of Fair QoS Based Resource Allocation in Multi-Tier Computing Systems

机译：多层计算系统中基于公平QoS的资源分配的自适应仲裁

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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.
机译：本文提出了一种适用于多层计算系统的自适应资源分配，以在层的资源约束下保证公平的QoS水平。我们介绍了一种多层计算架构，该架构由一组资源管理器和一个仲裁器组成。每个客户端的资源分配由专门的资源管理器管理。每个资源管理器通过与其他资源管理器在本地交换QoS级别来更新分配给其客户端子任务的资源。仲裁器补偿更新的资源，以避免分层中的过载情况。基于仲裁器的补偿，每个客户端的子任务在相应的层中执行。我们针对每个客户端的QoS函数和资源消耗函数进行了一些假设，得出了用于提议的资源分配的充分条件，以实现公平的QoS级别，从而避免了所有层的过载情况。我们进行了仿真，以证明所提出的资源分配可以自适应地达到公平的QoS级别而不会引起任何过载情况。

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