Diffluent Internet Traffic and Characteristics Computation Based on Hadoop
Internet traffic characteristics computation is an important step of internet traffic analysis, in the face of massive internet traffic data, parallel computing internet traffic characteristics is base to prompt the performance of internet traffic analysis. In order to solve the problems of poor exp...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2014-12-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2014.12.011/ |
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| _version_ | 1841529435954610176 |
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| author | Yong Liu Jiangtao Luo Shengxiong Deng Xiaoping Wang |
| author_facet | Yong Liu Jiangtao Luo Shengxiong Deng Xiaoping Wang |
| author_sort | Yong Liu |
| collection | DOAJ |
| description | Internet traffic characteristics computation is an important step of internet traffic analysis, in the face of massive internet traffic data, parallel computing internet traffic characteristics is base to prompt the performance of internet traffic analysis. In order to solve the problems of poor expansibility and high cost that caused by the traditional stand-alone, an internet traffic characteristics analysis method based on MapReduce, which parallel processes diffluent internet traffic and characteristics computing, was proposed. By using the Hadoop platform, the actual data was analyzed and the common internet traffic characteristics were computed. Experiments show that the method is reliable to analyze the characteristic of the internet traffic and it is suitable for analyzing large traffic data. |
| format | Article |
| id | doaj-art-7a86cb7b211a41969318ed00d4ae183c |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2014-12-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-7a86cb7b211a41969318ed00d4ae183c2025-01-15T03:17:53ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012014-12-0130768159617009Diffluent Internet Traffic and Characteristics Computation Based on HadoopYong LiuJiangtao LuoShengxiong DengXiaoping WangInternet traffic characteristics computation is an important step of internet traffic analysis, in the face of massive internet traffic data, parallel computing internet traffic characteristics is base to prompt the performance of internet traffic analysis. In order to solve the problems of poor expansibility and high cost that caused by the traditional stand-alone, an internet traffic characteristics analysis method based on MapReduce, which parallel processes diffluent internet traffic and characteristics computing, was proposed. By using the Hadoop platform, the actual data was analyzed and the common internet traffic characteristics were computed. Experiments show that the method is reliable to analyze the characteristic of the internet traffic and it is suitable for analyzing large traffic data.http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2014.12.011/MapReducediffluent internet trafficcharacteristicparallel computing |
| spellingShingle | Yong Liu Jiangtao Luo Shengxiong Deng Xiaoping Wang Diffluent Internet Traffic and Characteristics Computation Based on Hadoop Dianxin kexue MapReduce diffluent internet traffic characteristic parallel computing |
| title | Diffluent Internet Traffic and Characteristics Computation Based on Hadoop |
| title_full | Diffluent Internet Traffic and Characteristics Computation Based on Hadoop |
| title_fullStr | Diffluent Internet Traffic and Characteristics Computation Based on Hadoop |
| title_full_unstemmed | Diffluent Internet Traffic and Characteristics Computation Based on Hadoop |
| title_short | Diffluent Internet Traffic and Characteristics Computation Based on Hadoop |
| title_sort | diffluent internet traffic and characteristics computation based on hadoop |
| topic | MapReduce diffluent internet traffic characteristic parallel computing |
| url | http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2014.12.011/ |
| work_keys_str_mv | AT yongliu diffluentinternettrafficandcharacteristicscomputationbasedonhadoop AT jiangtaoluo diffluentinternettrafficandcharacteristicscomputationbasedonhadoop AT shengxiongdeng diffluentinternettrafficandcharacteristicscomputationbasedonhadoop AT xiaopingwang diffluentinternettrafficandcharacteristicscomputationbasedonhadoop |