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Online Balancing Two Independent Criteria

机译:在线平衡两个独立标准

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摘要

We study the online bicriteria load balancing problem in this paper. We choose a system of distributed homogeneous file servers located in a cluster as the scenario and propose two online approximate algorithms for balancing their loads and required storage spaces. We first revisit the best existing solution for document placement, and rewrite it in our first algorithm by imposing some flexibilities. The second algorithm bounds the load and storage space of each server by less than three times of their trivial lower bounds, respectively; and more importantly, for each server, the value of at least one parameter is far from its worst case. The time complexities for both algorithm are O(log M).
机译:我们在本文中研究了在线Bicritria负载平衡问题。我们选择一个位于群集中的分布式同类文件服务器系统,作为场景,并提出两个在线近似算法,用于平衡其负载和所需的存储空间。我们首先通过强大的灵活性重新审视文档展示位置的最佳现有解决方案,并将其重写为第一算法。第二算法分别将每个服务器的负载和存储空间绑定,分别小于三次微小界限;更重要的是,对于每个服务器,至少一个参数的值远离其最坏情况。这两种算法的时间复杂性是O(log m)。

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