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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Format: | Article |
Language: | zho |
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Beijing Xintong Media Co., Ltd
2014-05-01
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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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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 |