Compression strategies selection method based on classification of HBase data
Most of the current compression strategies selection methods for HBase data did not consider whether the data was cold or hot. Besides, problem of incompleteness and unreliability existed during selection process. To address the problems above, a compression strategies selection method based on clas...
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Format: | Article |
Language: | zho |
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Editorial Department of Journal on Communications
2016-04-01
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Series: | Tongxin xuebao |
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Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016068/ |
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author | Hai-yan WANG Cai-hang FU |
author_facet | Hai-yan WANG Cai-hang FU |
author_sort | Hai-yan WANG |
collection | DOAJ |
description | Most of the current compression strategies selection methods for HBase data did not consider whether the data was cold or hot. Besides, problem of incompleteness and unreliability existed during selection process. To address the problems above, a compression strategies selection method based on classification of HBase data was put forward. HBase data was classified into cold and hot data according to the access frequency of each data file and an access level would be designated to each file. On this base, an evaluation layer was added and a compression strategies selection method based on access level with integration of neighbor sector and statistic column based selection methods. Simulation experiments and results demonstrate that the proposed compression strategies selection method based on classification of HBase data can not only save storage space but also greatly improve the query performance of HBase data. |
format | Article |
id | doaj-art-c64986f484c14d379c19d71d29a90ec9 |
institution | Kabale University |
issn | 1000-436X |
language | zho |
publishDate | 2016-04-01 |
publisher | Editorial Department of Journal on Communications |
record_format | Article |
series | Tongxin xuebao |
spelling | doaj-art-c64986f484c14d379c19d71d29a90ec92025-01-14T06:55:09ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2016-04-0137122259700251Compression strategies selection method based on classification of HBase dataHai-yan WANGCai-hang FUMost of the current compression strategies selection methods for HBase data did not consider whether the data was cold or hot. Besides, problem of incompleteness and unreliability existed during selection process. To address the problems above, a compression strategies selection method based on classification of HBase data was put forward. HBase data was classified into cold and hot data according to the access frequency of each data file and an access level would be designated to each file. On this base, an evaluation layer was added and a compression strategies selection method based on access level with integration of neighbor sector and statistic column based selection methods. Simulation experiments and results demonstrate that the proposed compression strategies selection method based on classification of HBase data can not only save storage space but also greatly improve the query performance of HBase data.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016068/data compressionHBasecompression strategies selection methodcold and hot data |
spellingShingle | Hai-yan WANG Cai-hang FU Compression strategies selection method based on classification of HBase data Tongxin xuebao data compression HBase compression strategies selection method cold and hot data |
title | Compression strategies selection method based on classification of HBase data |
title_full | Compression strategies selection method based on classification of HBase data |
title_fullStr | Compression strategies selection method based on classification of HBase data |
title_full_unstemmed | Compression strategies selection method based on classification of HBase data |
title_short | Compression strategies selection method based on classification of HBase data |
title_sort | compression strategies selection method based on classification of hbase data |
topic | data compression HBase compression strategies selection method cold and hot data |
url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016068/ |
work_keys_str_mv | AT haiyanwang compressionstrategiesselectionmethodbasedonclassificationofhbasedata AT caihangfu compressionstrategiesselectionmethodbasedonclassificationofhbasedata |