Continuous Skyline Queries Based on MapReduce

With the development of Web and wireless sensor networks, the appearance of big data has brought a great challenge to data query and process. The parallel Skyline computing issue of a moving query object under the MapReduce framework was studied. To solve the problem of load balance, a method based...

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Bibliographic Details
Main Authors: Guanmin Shan, Yihong Dong, Xianmang He
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2014-05-01
Series:Dianxin kexue
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Online Access:http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2014.05.014/
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Summary:With the development of Web and wireless sensor networks, the appearance of big data has brought a great challenge to data query and process. The parallel Skyline computing issue of a moving query object under the MapReduce framework was studied. To solve the problem of load balance, a method based on angle partition was adopted. Then a filtering method was introduced to improve the efficiency. On the basis of those methods, a static Skyline algorithm and an event tracking algorithm named MR-Track were implemented respectively. Finally, many experiments were made to verify the effective and efficient of MR-Track algorithm.
ISSN:1000-0801