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An SMDP-Based Service Model for Interdomain Resource Allocation in Mobile Cloud Networks

机译:基于SMDP的移动云网络域间资源分配服务模型

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摘要

Mobile cloud computing is a promising technique that shifts the data and computing service modules from individual devices to a geographically distributed cloud service architecture. A general mobile cloud computing system is comprised of multiple cloud domains, and each domain manages a portion of the cloud system resources, such as the Central Processing Unit, memory and storage, etc. How to efficiently manage the cloud resources across multiple cloud domains is critical for providing continuous mobile cloud services. In this paper, we propose a service decision making system for interdomain service transfer to balance the computation loads among multiple cloud domains. Our system focuses on maximizing the rewards for both the cloud system and the users by minimizing the number of service rejections that degrade the user satisfaction level significantly. To this end, we formulate the service request decision making process as a semi-Markov decision process. The optimal service transfer decisions are obtained by jointly considering the system incomes and expenses. Extensive simulation results show that the proposed decision making system can significantly improve the system rewards and decrease service disruptions compared with the greedy approach.
机译:移动云计算是一种很有前途的技术,它将数据和计算服务模块从单个设备转移到地理上分散的云服务体系结构。通用的移动云计算系统由多个云域组成,每个域管理一部分云系统资源,例如中央处理单元,内存和存储等。如何有效地跨多个云域管理云资源是对于提供持续的移动云服务至关重要。在本文中,我们提出了一种用于域间服务转移的服务决策系统,以平衡多个云域之间的计算负荷。我们的系统着重于通过最小化显着降低用户满意度的服务拒绝次数来最大化云系统和用户的回报。为此,我们将服务请求决策过程表述为半马尔可夫决策过程。通过共同考虑系统的收支,可以得出最优的服务转移决策。大量的仿真结果表明,与贪婪方法相比,所提出的决策系统可以显着提高系统的报酬并减少服务中断。

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