{"title":"Application traffic classification in Hadoop distributed computing environment","authors":"Kyu-Seok Shim, Su-Kang Lee, Myung-Sup Kim","doi":"10.1109/APNOMS.2014.6996588","DOIUrl":null,"url":null,"abstract":"Today, network traffic has increased because of the appearance of various applications and services. However, methods for network traffic analysis are not developed to catch up the trend of increasing usage of the network. Most methods for network traffic analysis are operated on a single server environment, which results in the limits about memory, processing speed, storage capacity. When considering the increment of network traffic, we need a method of network traffic to handle the Bigdata traffic. Hadoop system can be effectively used for analyzing Bigdata traffic. In this paper, we propose a method of application traffic classification in Hadoop distributed computing system and compare the processing time of the proposed system with a single server system to show the advantages of Hadoop.","PeriodicalId":269952,"journal":{"name":"The 16th Asia-Pacific Network Operations and Management Symposium","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 16th Asia-Pacific Network Operations and Management Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APNOMS.2014.6996588","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Today, network traffic has increased because of the appearance of various applications and services. However, methods for network traffic analysis are not developed to catch up the trend of increasing usage of the network. Most methods for network traffic analysis are operated on a single server environment, which results in the limits about memory, processing speed, storage capacity. When considering the increment of network traffic, we need a method of network traffic to handle the Bigdata traffic. Hadoop system can be effectively used for analyzing Bigdata traffic. In this paper, we propose a method of application traffic classification in Hadoop distributed computing system and compare the processing time of the proposed system with a single server system to show the advantages of Hadoop.