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摘要:
With the rapid development of cloud environment, the capabilities of systems have been promoted with powerful computing and storage. But for the characteristic of “pay-as-you-go” of cloud resources, it is necessary to consider the different data storage cost. Especially for processing of “old data” in longterm storage, an appropriate strategy is needed to reduce users’ cost. Considering the characteristics of price stratification in the current commercial cloud environment, a three-level price stratified storage strategy is proposed based on the CTT-SP algorithm, which stores part of the “old data” on relatively inexpensive secondary and tertiary storage, and ensures that the time delay caused by three-level storage does not exceed the deadline. Compared with other storage methods, the experimental result shows the strategy proposed can guarantee the time delay while reducing the cost of users significantly in longterm storage.
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篇名 Cost Optimization Strategy for Long-Term Storage of Scientific Workflow
来源期刊 国际计算机前沿大会会议论文集 学科 社会科学
关键词 CTT-SP algorithm PRICE STRATIFICATION LONG-TERM STORAGE
年,卷(期) 2019,(1) 所属期刊栏目
研究方向 页码范围 156-157
页数 2页 分类号 C
字数 语种
DOI
五维指标
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研究主题发展历程
节点文献
CTT-SP
algorithm
PRICE
STRATIFICATION
LONG-TERM
STORAGE
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
国际计算机前沿大会会议论文集
半年刊
北京市海淀区西三旗昌临801号
出版文献量(篇)
616
总下载数(次)
6
总被引数(次)
0
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