混合云环境下一种新的任务调度算法

W. Jiang, Z. Sheng
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引用次数: 23

摘要

尽管一些云提供商认为混合云是亵渎神明,但他们有充分的理由采用它。混合云提供公共云的成本和规模优势,同时还提供私有云的安全性和控制。任务调度是混合云环境下最重要的组合优化问题之一。提出了一种基于图的任务调度算法。为了达到最小成本,我们的算法既考虑了私有资源,也考虑了公共资源。本文还提出了一个广泛的评估研究,并证明了我们提出的算法在混合云环境中最大限度地减少了用户的成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Task Scheduling Algorithm in Hybrid Cloud Environment
Although some cloud providers look at the hybrid cloud as blasphemy, there are strong reasons for them to adopt it. Hybrid clouds offer the cost and scale benefits of public clouds while also offering the security and control of private clouds. Task scheduling, one of the most famous combinational optimization problems, plays a key role in the hybrid cloud environment. We propose a graph-based task scheduling algorithm. In order to achieve minimum cost, our algorithm takes into account not only the private resources but also the public resources. This paper also presents an extensive evaluation study and demonstrates that our proposed algorithms minimize the user's cost in a hybrid cloud environment.
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