VCAE: A Virtualization and Consolidation Analysis Engine for Large Scale Data Centers

2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Pub Date : 2010-09-27 DOI:10.1109/SASO.2010.25

Haifeng Chen, Hui Kang, Guofei Jiang, K. Yoshihira, Akhilesh Saxena

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引用次数: 6

Abstract

Server consolidation through virtualization is becoming an effective way to save power and space in enterprise data centers. However, it also brings additional operational risks for the consolidated system because the impacts of hardware failures, human errors, and security breaches can be vastly magnified in that densely packed environment. In order to mitigate the above issues, this paper proposes a new virtualization and consolidation analysis engine(VCAE), which exploits and utilizes various constraints in the consolidation process. VCAE provides a comprehensive framework to discover, represent, check, and combine various constraints in server consolidation. It can assist system operators to effectively deal with the large number of constraints in the consolidation planning. In addition, VCAE proposes an evolution based method to discover the optimal consolidation scheme under multiple constraints. As a consequence, the consolidation solution generated by VCAE can not only maximize the utilization of system resources but also keep the hidden risks as low as possible in the consolidated system. The experimental results from an real enterprise system have demonstrated the advantages of our analysis engine.

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VCAE:用于大规模数据中心的虚拟化和整合分析引擎

通过虚拟化进行服务器整合正在成为企业数据中心节省电力和空间的有效方法。然而，它也给合并系统带来了额外的操作风险，因为硬件故障、人为错误和安全漏洞的影响在这种密集的环境中会被极大地放大。为了缓解上述问题，本文提出了一种新的虚拟化和整合分析引擎(VCAE)，该引擎利用了整合过程中的各种约束。VCAE提供了一个全面的框架，用于发现、表示、检查和组合服务器整合中的各种约束。它可以帮助系统运营商有效地处理整合规划中的大量约束条件。此外，VCAE还提出了一种基于进化的方法来发现多约束条件下的最优加固方案。因此，由VCAE生成的整合方案既可以最大限度地利用系统资源，又可以尽可能地降低整合系统的风险隐患。实际企业系统的实验结果证明了我们的分析引擎的优势。

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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2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems

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