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A Graph-based Mathematical Model for an Efficient Load Balancing and Fault tolerance in Cloud Computing

机译:基于图形的数学模型,用于云计算中的有效负载平衡和容错的数学模型

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All the Cloud Data Centers (CDC) provision service ranging from compute to storage. The rate of service accessed by the end users increases drastically. Hence, to deal with an on-demand dynamic loads, an efficient load balancing of resources such as hosts and virtual machines in the CDC becomes necessary. This paper proposes a load balancing technique based on a graph structure called weighted complete graph augmented with dominating set concept for the CDC is proposed. A mathematical model is devised and the proposed method improves utilization of resources in CDC by load balancing and also enables fault tolerance.
机译:所有云数据中心(CDC)提供服务范围从计算到存储。最终用户访问的服务率急剧增加。因此,为了处理按需动态负载,需要在CDC中的主机和虚拟机等资源的有效负载平衡。本文提出了一种基于CAPLACLACH结构的负载平衡技术,提出了CDC的主导集合概念增强了加权完整图。设计了一个数学模型,所提出的方法通过负载平衡来提高CDC中资源的利用,并且还实现了容错。

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