Energy-aware cross-layer resource allocation in mobile cloud
Energy-aware cross-layer resource allocation in mobile cloud
复制标题
移动云中的能源感知跨层资源分配
DOI：
10.1002/dac.3258
复制
发表时间：
2017
影响因子：
2.1
通讯作者：
Luo Youlong
中科院分区：
文献类型：
--
作者：
Li Chunlin;Liu Yanpei;Luo Youlong
提出了一种能量感知的跨层移动云资源分配方法。本文采用混合云架构为移动设备用户提供移动业务，混合云包括近端本地云和远端公共云。计算密集型任务可以由远程公共云处理，而延迟敏感的计算可以由附近的本地云处理。基于系统环境和移动用户偏好，能量感知的跨层移动云资源分配方法可以优化云资源消耗和系统性能。本地云代理、公有云供应商和移动云用户之间的合作与协作，通过经济的方式进行规范。能源感知的跨层移动云资源分配在本地云和公共云层面进行，综合考虑了所有参与者的利益。提出了一种能量感知的跨层移动云资源分配算法，并在实验环境下对该算法进行了评估，并对对比结果进行了讨论和分析。
This paper proposed an energy‐aware cross‐layer mobile cloud resource allocation approach. In this paper, a hybrid cloud architecture is adopted for provisioning mobile service to mobile device users, which include nearby local cloud and remote public cloud. The computation‐intensive tasks can be processed by the remote public cloud, while the delay‐sensitive computation can be processed by the nearby local cloud. On the basis of the system context and mobile user preferences, the energy‐aware cross‐layer mobile cloud resource allocation approach can optimize the consumption of cloud resource and system performance. The cooperation and collaboration among local cloud agent, public cloud supplier, and mobile cloud user are regulated through the economic approach. The energy‐aware cross‐layer mobile cloud resource allocation is performed on the local cloud level and the public cloud level, which comprehensively considers the benefits of all participants. The energy‐aware cross‐layer mobile cloud resource allocation algorithm is proposed, which is evaluated in the experiment environment, and comparison results and analysis are discussed.