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篇名 |
Data Centers Selection for Moving Geo-distributed Big Data to Cloud
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並列篇名 | Data Centers Selection for Moving Geo-distributed Big Data to Cloud |
作者 | Jiangtao Zhang、Qiang Yuan、Shi Chen、Hejiao Huang、Xuan Wang |
英文摘要 | Because of the distributed networking and coexistent abundant computation and storage resources, cloud computing has become a preferred platform for big data analytics, especially for the geo-distributed data across the world. The precondition for data processing is to move the data to the cloud. Due to the large volume of data, high transmission cost across continents and even specific legal prohibition, it is not always feasible to move all data to one data center. Appropriate data centers should be selected while keeping fast data access and low cost. In this paper, four criteria of the problem are explored. A tight 3-approximation algorithm is proposed to address the former two criteria. It can be simplified when the underlying bipartite graph is complete. The latter two criteria are addressed by a heuristic. Comparing to the optimal method and other schemes, extensive simulations demonstrate that the proposed algorithms can find rather good solutions with less time, and hence are more appropriate for large scale applications. |
起訖頁 | 111-122 |
關鍵詞 | Big data、Data centers selection、Distributed cloud computing、Cost minimization |
刊名 | 網際網路技術學刊 |
期數 | 201901 (20:1期) |
出版單位 | 台灣學術網路管理委員會 |
DOI |
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