云计算中资源管理的自组织策略:现状与挑战

P. Endo, M. S. Batista, G. Gonçalves, Moisés Rodrigues, D. Sadok, J. Kelner, A. Sefidcon, F. Wuhib
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引用次数: 7

摘要

由于云计算的发展,配套的基础设施变得更加复杂,集中式解决方案由于场景的大规模和动态性而面临资源管理的困难。因此,文献中提出了分布式解决方案,自组织解决方案由于其鲁棒性和适应性特性而引起了人们的特别关注。诸如生物计算、多主体系统和进化技术等技术被用于管理资源。本文的主要目标是对如何将自组织解决方案应用于云提供商的资源管理进行初步研究,并强调该领域的主要研究挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Self-organizing strategies for resource management in Cloud Computing: State-of-the-art and challenges
Due to the growth of Cloud Computing, the supporting infrastructure has become more complex, and the centralized solutions suffer resource management difficulties due to the large scale and the dynamicity of the scenario. Consequently, distributed solutions have been proposed in the literature and the self-organizing ones have attracted particular interest due to their robustness and adaptability characteristics. Techniques, such as bio-inspired computing, multi-agent systems, and evolutionary techniques are used to manage resources. The main goal of this paper is to present a start study about how self-organizing solutions are applied in resource management of Cloud providers, as well as to highlight the main research challenges in this area.
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