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Joint Cloud and Wireless Networks Operations in Mobile Cloud Computing Environments With Telecom Operator Cloud

机译:通过电信运营商云在移动云计算环境中进行联合云和无线网络运营

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摘要

In mobile cloud computing systems, cloud computing has a significant impact on wireless networks. Cloud computing and wireless networks have traditionally been addressed separately in the literature. In this paper, we jointly study the operations of cloud computing and wireless networks in mobile computing environments, where the objective is to improve the end-to-end performances of cloud mobile media delivered through mobile cloud computing systems. Unlike most existing studies on wireless networks, where only the spectrum efficiency is considered, we consider not only the spectrum efficiency in wireless networks but also the pricing information in the cloud, based on which power allocation and interference management in the wireless networks are performed. We formulate the problems encountered in the operations of mobile cloud computing environments, including determining the price to charge for media services, resource allocation, and interference management, as a Stackelberg game model. Moreover, we extend this game model with multiple players through network virtualization technology, and adopt the replicator dynamics method to solve the evolutionary game between the different groups of small cells. Furthermore, a backward induction method is used to analyze the proposed Stackelberg game. Simulation results are presented to show the effectiveness of the proposed techniques.
机译:在移动云计算系统中,云计算对无线网络具有重大影响。传统上,云计算和无线网络已在文献中单独讨论。在本文中,我们共同研究了云计算和无线网络在移动计算环境中的运行情况,其目的是提高通过移动云计算系统交付的云移动媒体的端到端性能。与大多数仅考虑频谱效率的无线网络研究不同,我们不仅考虑无线网络的频谱效率,还考虑云中的定价信息,基于这些信息在无线网络中执行功率分配和干扰管理。我们将在移动云计算环境的操作中遇到的问题(包括确定媒体服务,资源分配和干扰管理的价格)作为Stackelberg游戏模型进行表述。此外,我们通过网络虚拟化技术将该游戏模型扩展为具有多个参与者的游戏模型,并采用复制器动力学方法来解决小小组不同群体之间的进化游戏。此外,使用反向归纳法来分析提出的Stackelberg博弈。仿真结果表明了所提出技术的有效性。

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