文章基本信息

标题：Cloud Technologies for Microsoft Computational Biology Tools
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作者：N.Narasimha Rao ; K.Rajani Devi
期刊名称：International Journal of Advanced Information Technology
印刷版ISSN：2231-1920
电子版ISSN：2231-1548
出版年度：2012
卷号：2
期号：3
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Executinglarge numberofself-regulatingtasksortasksthatexecuteminimalinter-taskcommunication inanalogousis acommonrequirementi nmanydomains.Inthispaper,wepresentourknowledgeinapplyingtwonewMicrosofttechnologiesDryadandAzuretothreebioinformaticsapplications.WealsocontrastwithtraditionalMPIandApacheHadoopMapReducecompletioninoneexample.Thea pplication sareanEST(ExpressedSequence Tag)seriesassemblyprogram,PhyloD statisticalpackagetorecognizeHLA-associatedviralevolution,and apairwiseAlugenealignmentapplication.Wegivedetailedpresentationdiscussionona768coreWindows HPCServerclusterandan Azurecloud.Alltheapplicationsstartwith a"doublydataparallel step"connectingindependentdatachosen from twoparallel(EST,Alu) ortwodifferentdatabases(PhyloD). Therearedifferentstructures forfinal stagesineachapplication
关键词：Cloud;b;ioinfo;rm;a;ti;c;s;Mu;l;t;i;c;o;r;e;D;r;y;a;d; H;a;do;o;p;M;PI