云计算环境下广域多个数据中心的资源分配方法

Masatoshi Uriu, S. Kuribayashi
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引用次数: 2

摘要

每个数据中心将为云计算环境中不同位置的用户提供不同的总处理时间,云计算环境中有多个数据中心分布在广阔的区域。提出了由多个数据中心组成的云计算环境下,每个数据中心提供不同的网络延迟的联合多资源分配方法。但是,当在分配资源时需要考虑总处理时间(数据中心的网络延迟和业务处理时间)时,它不能提供最优的资源分配。本文提出对现有的联合多资源分配方法进行改进,以在分配资源时考虑总处理时间,并防止当来自特定接入点的请求超出预期时,其他接入点的请求服务质量下降。仿真评估表明,改进后的方法可以大大降低请求丢失概率,并且在相同资源下服务的请求数量是现有方法的两倍,并且可以应对来自特定接入点的过多请求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Resource allocation method in cloud computing environments with multiple data centers over a wide area
Each data center would provide the different total processing time to users at different locations in a cloud computing environment with multiple data centers over a wide area. The authors proposed the joint multiple resource allocation method in a cloud computing environment that consists of multiple data centers and each data center provides the different network delay. However, it cannot provide the optimal resource allocation when it is necessary to take the total processing time (both network delay and service processing time in a data center) into consideration in allocating resources. The paper proposes to enhance the existing joint multiple resource allocation method, so as to take account of the total processing time in allocating resources and to prevent the degradation in service quality of requests from other access points when requests from a specific access point occur more than expected. It is demonstrated by simulation evaluations that the enhanced method can greatly make the request loss probability lower and also serve up to twice as many requests as the existing method with the same amount of resources, and can cope with the excessive generation of requests from the specific access point.
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