NeTS: Small: Collaborative Research: Network-Centric Mobile Cloud Computing
NeTS: Small: Collaborative Research: Network-Centric Mobile Cloud Computing
批准号:
1526769
负责人:
Wei Gao
金额:
$23.75万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-10-01 至 2018-01-31
中文摘要
移动的云计算(MCC)已经被用于通过将昂贵的本地计算迁移到云来解决移动的设备的资源限制。然而,将数据从移动的设备无线传输到云端也会消耗能量。因此,MCC的关键问题是如何在保持移动的应用性能的同时最小化能量消耗。 与传统解决方案仅从应用角度降低无线传输成本不同,本项目侧重于从以网络为中心的角度设计MCC方案,通过调查,制定和减轻无线网络特性对MCC能效的影响。 拟议的研究可以通过延长电池寿命和提高性能来使各种移动的设备的最终用户受益。 本研究的结果可能会从网络为中心的角度促进新的研究方向,支持MCC。 该项目将使代表性不足的学生参与拟议的研究,该项目的学术发现将广泛传播给社区。该项目旨在通过减轻无线网络的两个特殊特性的影响来提高MCC的性能:在无线接口的长尾问题和无线链路的质量变化。 更具体地说,该项目由三个紧密交织的研究重点组成:(i)在将程序状态传输到远程云时减少尾部能量的量,同时确保可以满足移动的应用的性能要求;(ii)减轻无线链路质量对能量和性能的影响,并在无线链路质量较低时最小化应用性能的下降;以及(iii)利用移动的用户之间的无线链路质量的差异,通过用户协作来进一步提高MCC的能量效率。 将开发一个实验测试平台,以调查无线网络特性对MCC的实际影响,并评估所提出的MCC方案。
英文摘要
Mobile cloud computing (MCC) has been used to address the resource limitation of mobile devices by migrating expensive local computations to the cloud. However, transmitting data wirelessly from mobile devices to the cloud also consumes energy. Hence, the key problem of MCC is how to minimize the energy consumption while preserving the mobile application performance. Different from traditional solutions which focus on reducing the cost of wireless transmission solely from the application perspective, this project focuses on designing MCC schemes from a network-centric perspective, by investigating, formulating, and mitigating the impact of special characteristics of wireless networks on the energy efficiency of MCC. The proposed research could benefit end users with various mobile devices by extending their battery lifetime and improving their performance. The results from this research are likely to foster new research directions on supporting MCC from a network-centric perspective. The project will engage under-represented students in the proposed research, and the scholarly discovery of this project will be disseminated broadly to the community. This project aims to improve the performance of MCC by mitigating the impacts of two special characteristics of wireless networks: the long-tail problem at the wireless interface and the quality variations of the wireless link. More specifically, this project consists of three closely intertwined research thrusts: (i) reducing the amount of tail energy when transmitting the program states to the remote cloud, while ensuring that the performance requirements of mobile applications can be met; (ii) mitigating the impact of wireless link quality on both energy and performance, and minimizing the degradation of application performance when the wireless link quality is low; and (iii) exploiting the difference of wireless link quality among mobile users to further improve the energy efficiency of MCC via user cooperation. An experimental testbed will be developed to investigate the practical impact of wireless network characteristics on MCC and evaluate the proposed MCC schemes.
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