AbstractThe paper proposes QoS based service allocation optimization in hybrid mobile cloud. The optimization formulation of the hybrid mobile cloud utility adopts a network utility maximization framework. The proposed hybrid cloud service allocation framework leads to a decomposition of the overall hybrid mobile cloud system problem into a separate problem for mobile user and one for the hybrid cloud provider. The mathematic solution of proposed model is concerned with the variables of local and public cloud. When the equilibrium prices of public cloud services and local cloud services are obtained, the system performance can be optimized. The QoS based two-layer service allocation optimization problem leads to two sub-algorithms. Interactions between the two sub-problems are through optimal variables for capacities of local or public cloud resources and service need. When the convergence points of the two sub-problems of public and local cloud service allocation are obtained, the optimal solution for hybrid mobile cloud utility is acquired. The system design issues of QoS based two-layer service allocation model are also given. The experiments study how data size, request arrival rate, number of cloud nodes have the effect on proposed algorithm and other compared algorithms.

中文翻译：

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混合移动云中高效的 QoS 感知两层服务分配

摘要 本文提出了混合移动云中基于QoS的服务分配优化方法。混合移动云效用的优化公式采用网络效用最大化框架。所提出的混合云服务分配框架将整个混合移动云系统问题分解为一个单独的移动用户问题和一个混合云提供商的问题。所提出模型的数学解决方案涉及本地和公共云的变量。当获得公共云服务和本地云服务的均衡价格时，可以优化系统性能。基于QoS的两层服务分配优化问题引出两个子算法。两个子问题之间的交互是通过本地或公共云资源和服务需求的容量的最佳变量来实现的。当获得公共和本地云服务分配两个子问题的收敛点时，就得到了混合移动云效用的最优解。还给出了基于QoS的两层服务分配模型的系统设计问题。实验研究了数据大小、请求到达率、云节点数对所提出算法和其他比较算法的影响。