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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Main Authors: Guanmin Shan, Yihong Dong, Xianmang He
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2014-05-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2014.05.014/
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author Guanmin Shan
Yihong Dong
Xianmang He
author_facet Guanmin Shan
Yihong Dong
Xianmang He
author_sort Guanmin Shan
collection DOAJ
description 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.
format Article
id doaj-art-169f08c6b96f4e10b828add38121dcee
institution Kabale University
issn 1000-0801
language zho
publishDate 2014-05-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-169f08c6b96f4e10b828add38121dcee2025-01-15T03:19:53ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012014-05-01309410459621830Continuous Skyline Queries Based on MapReduceGuanmin ShanYihong DongXianmang HeWith 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.http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2014.05.014/Skyline queryMapReduceHadoopmoving objectcontinuous query
spellingShingle Guanmin Shan
Yihong Dong
Xianmang He
Continuous Skyline Queries Based on MapReduce
Dianxin kexue
Skyline query
MapReduce
Hadoop
moving object
continuous query
title Continuous Skyline Queries Based on MapReduce
title_full Continuous Skyline Queries Based on MapReduce
title_fullStr Continuous Skyline Queries Based on MapReduce
title_full_unstemmed Continuous Skyline Queries Based on MapReduce
title_short Continuous Skyline Queries Based on MapReduce
title_sort continuous skyline queries based on mapreduce
topic Skyline query
MapReduce
Hadoop
moving object
continuous query
url http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2014.05.014/
work_keys_str_mv AT guanminshan continuousskylinequeriesbasedonmapreduce
AT yihongdong continuousskylinequeriesbasedonmapreduce
AT xianmanghe continuousskylinequeriesbasedonmapreduce