Cost Optimization Oriented Dynamic Resource Allocation for Service-based System in the Cloud Environment
Cost Optimization Oriented Dynamic Resource Allocation for Service-based System in the Cloud Environment
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DOI：
10.1109/icws.2016.112
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发表时间：
2016-06
期刊：
影响因子：
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通讯作者：
Anxiang Ma;Changsheng Zhang;Bin Zhang;Xiaohong Zhang
中科院分区：
文献类型：
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作者：
Anxiang Ma;Changsheng Zhang;Bin Zhang;Xiaohong Zhang
云环境下基于服务的系统（SBS）由于负载的波动，其性能可能会偏离服务水平协议（SLA）。在云计算环境下，根据预测的系统负载动态分配SBS资源，以满足全局SLA约束并最小化资源成本是非常重要的。通过分析SBS复杂的业务逻辑和动态资源分配问题的特点，将动态资源分配问题建模为复合优化问题，提出了面向成本优化的动态资源分配模型。然后将遗传算法应用于动态资源分配模型的求解，以提高求解效率。最后，本文提出的方法进行了评估，并与一些相关的算法进行了比较。报告显示，在资源分配的质量方面取得了非常令人鼓舞的成果。
Because of load fluctuating, the performance of service-based system(SBS) in the cloud environment may deviate from service level agreement(SLA). In the cloud environment, it is important to dynamically allocate resource for SBS according to the predicted system load, so as to satisfy global SLA constraint and minimize resource cost. By the analysis of complex business logic in SBS and the feature of dynamic resource allocation problem, this paper models the dynamic resource allocation problem as composite optimization problem and proposes the cost optimization oriented dynamic resource allocation model. Then this paper applies genetic algorithm to solve the dynamic resource allocation model so as to improve the resolving efficiency. Finally, the approach proposed in this paper is evaluated and compared with some related algorithms. It reveals very encouraging results in terms of the quality of resource allocation.