A study of situation awareness-based resource management scheme in cloud environment

Junshe Wang, Zhengbo Li, Hongbin Zhang, Yuzi Yi
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引用次数: 3

Abstract

In view of the defects of the current cloud resource management, which results in low utilisation of resources. This paper proposes a new method for the cloud environment, which is based on situation awareness. Meanwhile it is particularly important to collect historical load data of resources in the process of situation awareness. In order to improve the quality of data acquisition and reduce the burden of the data collection system, a new adaptive data acquisition algorithm is also designed. The proposed scheme comprehensively evaluates the current situation of the use of resources using FAHP (fuzzy analytic hierarchy process). Meanwhile, the cycle of data acquisition is adjusted in real-time, according to the result of resource evaluation. Then, in order to improve the utilisation of resources and achieve its efficient use, the improved BP algorithm is used to forecast the resource requirement of the next time which can provide the basis for rational allocation.
云环境下基于态势感知的资源管理方案研究
针对当前云资源管理存在的缺陷,导致资源利用率低。本文提出了一种基于态势感知的云环境下的新方法。同时,在态势感知过程中,对资源历史负荷数据的采集尤为重要。为了提高数据采集质量,减轻数据采集系统的负担,设计了一种新的自适应数据采集算法。该方案采用模糊层次分析法对资源利用现状进行综合评价。同时,根据资源评估结果,实时调整数据采集周期。然后,为了提高资源的利用率,实现资源的高效利用,利用改进的BP算法预测下一次的资源需求,为合理分配提供依据。
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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