EAGER: Thin Client Performance Benchmarking based Resource Adaptation in Virtual Desktop Clouds
EAGER: Thin Client Performance Benchmarking based Resource Adaptation in Virtual Desktop Clouds
批准号:
1342499
负责人:
Prasad Calyam
金额:
$4.17万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-01-01 至 2013-07-31
中文摘要
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英文摘要
Popular applications such as email, image/video galleries, and file storage are increasingly being supported by ?cloud? platforms in residential, academia and industry communities. The next frontier for these user communities will be to transition ?traditional desktops? that have dedicated hardware and software configurations into ?virtual desktop clouds? that are accessible via thin clients. This project aims to develop optimal resource allocation frameworks and performance benchmarking tools that can enable building and managing thin-client based virtual desktop clouds at Internet-scale. Virtual desktop cloud experiments under realistic user and system loads will be conducted by leveraging multiple kinds of GENI resources such as aggregates, user opt-in mechanisms, measurement services and experimenter workflow tools. Project outcomes will help in minimizing costly cloud resource over-commitment, and in avoiding thin client protocol configuration guesswork, while delivering optimum user experience. Further, they will positively impact computer desktop user communities, GENI-like testbeds, and equipment vendors.
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