Towards distributed, fair, deadline-driven resource allocation for cloudlets

Stratos Dimopoulos, C. Krintz, R. Wolski
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引用次数: 2

Abstract

In this paper we present our vision for a two-level, distributed resource allocator that preserves fairness and satisfies deadlines of low latency workloads in a multi-cloudlet environment with offloading support. We analyze the opportunities and challenges that offloading and the multi-cloud environment impose and we suggest the changes required to a fair-preserving and deadline-driven resource allocator originally designed for resource-constrained environments.
为cloudlets实现分布式、公平、截止日期驱动的资源分配
在本文中,我们提出了一个两级分布式资源分配器的愿景,该分配器在具有卸载支持的多云环境中保持公平性并满足低延迟工作负载的最后期限。我们分析了卸载和多云环境带来的机遇和挑战,并建议对最初为资源受限环境设计的公平维护和截止日期驱动的资源分配器进行所需的更改。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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