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Towards lightweight distributed applications for mobile cloud computing

机译:对轻量级分布式应用的移动云计算

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The lightness of distributed application processing platform becomes more imperative with rapid proliferation of SMDs and ever increasing demand to utilize SMDs for intensive applications. Lightweight framework aspires for minimum possible overhead and optimal possible resources utilization on SMDs. Traditionally the distributed platform is established at runtime by outsourcing intensive applications partially or entirely to cloud datacenters. Such approaches implant intensive responsibilities of distributed platform establishment and management on SMDs for the entire duration of remote application processing. For that reason computing resources of SMDs are exploited copiously. In this paper we investigate the heavyweight aspects of current offloading algorithms in two different scenarios. First, we analyze the impact of VM deployment for application offloading in simulation environment using CloudSim. Second, we investigate the heavyweight aspects of current offloading algorithms by qualitative analysis. Finally, we propose a novel model for lightweight distributed application deployment in mobile cloud computing.
机译:分布式应用处理平台的亮度与SMD的快速增殖变得更加迫切,并且不断增加需求利用SMD进行密集应用。轻量级框架致力于为SMDS的最低可能开销和最佳可能的资源利用率渴望。传统上,分布式平台通过部分或完全到云数据中心来在运行时建立分布式平台。这种方法在整个远程应用程序处理中植入分布式平台建立和管理的密集责任。因此,SMDS的计算资源被显着利用。在本文中,我们调查了两种不同场景中当前卸载算法的重量级方面。首先,我们使用Cloudsim分析VM部署对仿真环境中的应用程序卸载的影响。其次,我们通过定性分析调查当前卸载算法的重量级方面。最后,我们为移动云计算中的轻量级分布式应用部署提出了一种新颖的模型。

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