<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bingjing Zhang</style></author><author><style face="normal" font="default" size="100%">Yang Ruan</style></author><author><style face="normal" font="default" size="100%">Tak-Lon Wu</style></author><author><style face="normal" font="default" size="100%">Judy Qiu</style></author><author><style face="normal" font="default" size="100%">Adam Hughes</style></author><author><style face="normal" font="default" size="100%">Geoffrey C. Fox</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Applying Twister to Scientific Applications</style></title><secondary-title><style face="normal" font="default" size="100%">2nd IEEE International Conference on Cloud Computing Technology and Science (CloudCom2010)</style></secondary-title><tertiary-title><style face="normal" font="default" size="100%">Proceedings of the 2nd IEEE International Conference on Cloud Computing Technology and Science</style></tertiary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Cloud</style></keyword><keyword><style  face="normal" font="default" size="100%">Iterative MapReduce</style></keyword><keyword><style  face="normal" font="default" size="100%">Scientific Applications</style></keyword><keyword><style  face="normal" font="default" size="100%">Twister</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2010</style></year><pub-dates><date><style  face="normal" font="default" size="100%">11/2010</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://grids.ucs.indiana.edu/ptliupages/publications/PID1510523.pdf</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pub-location><style face="normal" font="default" size="100%">Indianapolis, IN</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Many scientific applications suffer from the lack of a unified approach to support the management in execution and inefficiency in processing large-scale data. Twister MapReduce Framework, which not only supports traditional MapReduce programming model but also extends it with iterations, tries to address these problems. This paper describes how Twister is applied to several kinds of scientific applications such as BLAST, MDS Interpolation and GTM Interpolation in non-iterative style and MDS without interpolation in iterative style. The results show the applicability of Twister to data parallel and EM algorithms with small overhead and increased efficiency.</style></abstract></record></records></xml>