文章基本信息
- 标题：Cloud Technologies for Microsoft Computational Biology Tools
- 本地全文：下载
- 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
