Title :
Study for performance improvement of parallel process according to analysis of Hadoop
Author :
Jinwoo Lee ; SyKyoung Kim
Author_Institution :
Comput. Eng., Hanbat Nat. Univ., Daejeon, South Korea
Abstract :
Social networks and Web 2.0 is too appear to has caused a huge flood data. The present research and develop is associated with a variety of technology and especially variety of technology is appear the concurrent processing for data. That many users do not have a Korea is not a lot, but recently the trend is rising in presence, be this way Hadoop to analyze In the flow of data and parallel processing that occur in problem, solve this by presenting a model, new model Hadoop easily can basic core technology is federation detailed models research and implement at future of the structure and function, the proposed research is to demonstrate the superiority of the structure.
Keywords :
Internet; data flow computing; social networking (online); software performance evaluation; Hadoop analysis; Korea; Social networks; Web 2.0; concurrent data processing; data flow analysis; parallel process performance improvement; Big Data; Federation; Hadoop; Parallel Processing;
Conference_Titel :
Information Science and Service Science and Data Mining (ISSDM), 2012 6th International Conference on New Trends in
Conference_Location :
Taipei
Print_ISBN :
978-1-4673-0876-2