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A prefetching framework for the streaming loading of virtual software

  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In recent years, the Software as a Service, largely enabled by the Internet, has become an innovative software delivery model. During the streaming execution of virtualization software, the execution will wait until the missing data was downloaded, which greatly influences the user experience. In this paper, we present a block-level prefetching framework for streaming delivery of software based on N-Gram prediction model and an incremental data mining algorithm. The prefetching framework uses the historical block access logs for data mining, then dynamically updates and polishes the prefetching rules. The experimental results show that this prefetching framework achieves a launch time reduced by 10% to 50%, as well as hit rate between 81% and 97%.

源语言英语
主期刊名Proceedings - 16th International Conference on Parallel and Distributed Systems, ICPADS 2010
712-717
页数6
DOI
出版状态已出版 - 2010
活动16th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2010 - Shanghai, 中国
期限: 8 12月 201010 12月 2010

出版系列

姓名Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS
ISSN(印刷版)1521-9097

会议

会议16th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2010
国家/地区中国
Shanghai
时期8/12/1010/12/10

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