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Distributed computing architecture / Dryad / Microsoft Research / Cloud computing / Data Intensive Computing / MapReduce / Many-task computing / Azure Services Platform / Computer cluster / Computing / Concurrent computing / Parallel computing


Cloud Technologies for Bioinformatics Applications Xiaohong Qiu1, Jaliya Ekanayake 1,2, Scott Beason1, Thilina Gunarathne1,2, Geoffrey Fox1,2 1 Pervasive Technology Institute, 2School of Informatics and Computing, Indian
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Document Date: 2009-10-26 20:50:38

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City

Chicago / /

Company

J. Ekanayake A. S. / Distributed Systems / Azure / Smith Waterman Software / ASP.NET / Amazon / Intel / Microsoft / Dennis Gannon3 3 Microsoft Research Microsoft Corporation / /

Country

Poland / United States / /

Currency

pence / /

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Facility

Campus Grids / Indiana University / University Bloomington IN / Pervasive Technology Institute / /

IndustryTerm

scientific applications / parallel algorithms / web application / parallel solution / cloud storage services / “almost pleasingly parallel” applications / cloud technologies / cloud technology / web role / respective processors / Web Tools / web role instances / computing / pair distance processing / scientific computing / bioinformatics applications / long processing phase / tight coupled communication technologies / cross product / persistence storage services / thread/processing / main processing entity / internet-scale cloud computing / coarse grain data parallel applications / classic parallel computing / web roles / large task parallel applications / web-based application / storage services / /

OperatingSystem

Microsoft Windows / Linux / /

Organization

Indiana University / US Federal Reserve / Pattern Analysis and Machine Intelligence / EST / Pervasive Technology Institute / Center for Genomics and Bioinformatics / Windows Communication Foundation / /

Person

Jong Youl Choi / Mina Rho / Ken Rose / Scott Beason / Kenneth Rose / Yuan Parallel / Geoffrey C. Fox / Web Role / Haixu Tang / Geoffrey Fox / Eitan Gurewitz / Neil Devadasan / Gilbert Liu / /

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Position

General / fairly straight forward / messenger / stream writer / calling worker / /

Product

Microsoft Corporation Portable Audio Device / DryadLINQ application / Dryad / Xenon E7450 2.4 Ghz chips / DryadLINQ applications / CAP3 / DryadLINQ / PhyloD application / PhyloD / written using DryadLINQ / Xenon E7450 2.4 Ghz / /

ProgrammingLanguage

ASP.NET / R / /

PublishedMedium

Journal of Molecular Biology / Nature Reviews Genetics / IEEE Transactions on Pattern Analysis and Machine Intelligence / Iskra / Journal of Physics /

Technology

respective processors / Clustering algorithms / medium tight coupled communication technologies / cluster/Grid technologies / Linux / API / Operating System / shared memory / human genome / Gotoh algorithm / three technologies / Genomics / Bioinformatics / 2 1 Pervasive Technology / cloud technology / MPI algorithm / PWClustering algorithm / Terms Algorithms / pdf / parallel algorithms / PWClustering algorithms / load balancing / cloud technologies / 2.4 Ghz chips / HTTP / Data Mining / MPI algorithms / Space Filling MPI Algorithm / PARALLEL PROCESSING / /

URL

http /

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