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Dynamic task assignment and resource management in cloud services by using bargaining solution

机译:通过议价解决方案在云服务中进行动态任务分配和资源管理

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Cloud computing provides infrastructure, platform and software as services to customers. For the purpose ofrnproviding reliable and truthful service, a fair and elastic resource allocation strategy is essential from thernstandpoint of service customers. In this paper, we propose a game theoretic mechanism for dynamic cloudrnservice management, including task assignment and resource allocation to provide reliable and truthfulrncloud services. A user utility function is first devised considering the dynamic characteristics of cloudrncomputing. The elementary stepwise system is then applied to efficiently assign tasks to cloud servers. Arnresource allocation mechanism based on bargaining game solution is also adopted for fair resource allocationrnin terms of quality of service of requested tasks. Through numerical experiments, it is shown that thernproposed mechanism guarantees better system performance than several existing methods. The experimentalrnresults show that the mechanism completes the requested tasks earlier with relatively higher utility whilernproviding a significant level of fairness compared with existing ones. The proposed mechanism is expectedrnto support cloud service providers in elastically managing their limited resources in a cloud computingrnenvironment in terms of quality of service.
机译:云计算将基础架构,平台和软件作为服务提供给客户。为了提供可靠和真实的服务,从服务客户的角度出发,公平和弹性的资源分配策略至关重要。在本文中,我们提出了一种用于动态云服务管理的博弈论机制,包括任务分配和资源分配,以提供可靠和真实的云服务。首先考虑云计算的动态特性设计用户实用程序功能。然后将基本逐步系统应用于有效地将任务分配给云服务器。基于请求任务的服务质量,还采用基于议价博弈解决方案的Arnresource分配机制进行公平的资源分配。通过数值实验表明,与现有的几种方法相比,提出的机制可以保证更好的系统性能。实验结果表明,该机制以相对较高的实用性较早地完成了所请求的任务,同时与现有机制相比,提供了相当高的公平性。预期所提出的机制将支持云服务提供商在服务质量方面弹性地管理其在云计算环境中的有限资源。

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