RMORM:云环境下多目标优化资源管理框架

Wenyun Dai, Hao-peng Chen, Wenting Wang, X. Chen
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引用次数: 18

摘要

近年来,云计算吸引了越来越多的关注。随着部署到云中应用程序的数量和频率的增长,云提供商的资源管理负担变得越来越重。资源部署既要满足客户端对应用程序性能、可用性和可靠性的需求,又要保证云提供商对资源的高利用率。本文设计了一种具有优先级的多目标串行优化方法,称为RMORM,以快速找到云中的资源部署。该方法具有重要的实际意义和工程价值,并可扩展到添加新的约束条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
RMORM: A framework of Multi-objective Optimization Resource Management in Clouds
Cloud computing has attracted increasing attention in recent years. With the growth in the number and frequency of applications being deployed into clouds, the burden of resource management of cloud providers is becoming heavier. The resource deployment must satisfy the need about the performance, availability and reliability of applications from the view of clients, but also ensure the high resource utilization of the cloud providers. In this paper, we design a multi-objective serial optimization with priorities approach, named RMORM, to find the resource deployment in clouds rapidly. This approach is of great practical significance and engineering value and scalable to add new constraints.
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