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首页> 外文期刊>International journal of ad hoc and ubiquitous computing >Cloud-based mobile service provisioning for system performance optimisation
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Cloud-based mobile service provisioning for system performance optimisation

机译：基于云的移动服务供应以优化系统性能

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Currently, the mobile applications require intensive computational resources, particularly CPUs, RAMs, storage and battery to successfully complete the expected computing operation. Although distant clouds feature high availability and elastic scalability, and performance gain of utilising such resources is decreased by high communication latency due to large number of intermediate hops between the mobile device and the distant public clouds. Therefore, local cloud is suitable choice for some mobile devices. In this paper, hybrid cloud-assisted mobile service optimisation model is proposed to tackle limited resources of mobile devices and enhance the overall system performance. The aim of hybrid cloud-assisted mobile service optimisation is that mobile cloud system utility is optimised while satisfying huge number of mobile requests and improving individual user's quality of service (QoS) and reducing system overheads. The hybrid cloud-assisted mobile service scheduling algorithm enables mobile applications conducted on mobile devices to complete all tasks by leveraging computing resources of public cloud and local cloud. The proposed algorithm is validated through a series of experiments.
机译：当前，移动应用程序需要大量的计算资源，尤其是CPU，RAM，存储器和电池，才能成功完成预期的计算操作。尽管遥远的云具有高可用性和弹性可伸缩性，但是由于移动设备和遥远的公共云之间存在大量的中间跃点，因此通信延迟高会降低利用此类资源的性能增益。因此，本地云是某些移动设备的合适选择。本文提出了一种混合云辅助的移动服务优化模型，以解决移动设备资源有限的问题，提高整体系统性能。混合云辅助移动服务优化的目的是在满足大量移动请求并提高单个用户的服务质量（QoS）和减少系统开销的同时，优化移动云系统实用程序。混合云辅助移动服务调度算法使在移动设备上进行的移动应用程序能够利用公共云和本地云的计算资源来完成所有任务。通过一系列实验验证了该算法的有效性。

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