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Dynamic fair allocation of multiple resources with bounded number of tasks in cloud computing systems

机译:动态公平分配云计算系统中任务数量有限的多种资源

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Resource allocation is an important issue in any shared computer system. Recently, dynamic multi-resource fair allocation became a hot topic in cloud resource management. The most recent studies assume that each agent submits infinite number of tasks. In this paper, we consider a more realistic dynamic environment, where every agent submits a bounded number of tasks. We design a generalized dynamic dominant resource fairness mechanism, and develop a combinatorial optimal algorithm to find a fair allocation. Experimental results show that the solution produced by the proposed mechanism is close to the optimal solution.
机译:资源分配是任何共享计算机系统中的重要问题。最近,动态的多资源公平分配成为云资源管理中的热门话题。最近的研究假设每个代理提交无限数量的任务。在本文中,我们考虑了一个更现实的动态环境,其中每个代理都提交了一定数量的任务。我们设计了一种广义的动态主导资源公平机制,并开发了一种组合最优算法来寻找公平分配。实验结果表明,该机制所产生的解接近于最优解。

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