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dc.contributor.authorSidhu, Amandeep
dc.contributor.authorBalakrishnan, Suresh
dc.contributor.authorDhillon, S.
dc.contributor.editorSidhu, A.S., Dhillon, S.K., Rajaraman, K. and Wang, J.T.L.
dc.date.accessioned2017-01-30T12:34:02Z
dc.date.available2017-01-30T12:34:02Z
dc.date.created2014-03-16T20:01:13Z
dc.date.issued2013
dc.identifier.citationSidhu, Amandeep S. and Balakrishnan, Suresh Reuben and Dhillon, Sarinder K. 2013. HPC+Azure Environment for Bioinformatics Applications, in Sidhu, A.S. and Dhillon, S.K. and Rajaraman, K. and Wang, J.T.L. (ed), 7th IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Dec 18-21 2013, pp. 12-15. Shanghai, China: IEEE Computer Society.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/22844
dc.identifier.doi10.1109/BIBM.2013.6732615
dc.description.abstract

In the past 20 years, huge flow of data, produced by the nonstop rise of computational power has led to a paradigm shift in large scale data processing mechanisms and computing architecture. As a result, human and computational resources are needed to aid data-intensive operations which will cause the high degree of storage and management expenses. An organized and standard approach is important to manage these issues with an architecture that able to scale into the predictable future. Instead of the fastest and largest single computer solution, economical clusters of computers can better manage and process all data. Most of the high-performance computing (HPC) systems need a huge amount of processing power and Windows Azure is capable of providing a huge quantity of processing power on demand. As the Windows HPC server and Windows Azure combine, the cloud and on-premises world are now able to function together. In this paper we explore a HPC+Azure implementation model and demonstrate by running a genome sequence assembly application.

dc.publisherIEEE Computer Society
dc.subjectCloud Computing
dc.subjectMicrosoft Azure
dc.subjectWindows HPC
dc.titleHPC+Azure Environment for Bioinformatics Applications
dc.typeConference Paper
dcterms.source.startPage12
dcterms.source.endPage15
dcterms.source.titleProceedings of 7th IEEE International Conference on Bioinformatics and Biomedicine
dcterms.source.seriesProceedings of 7th IEEE International Conference on Bioinformatics and Biomedicine
dcterms.source.isbn9781479913107
dcterms.source.conference7th IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2013)
dcterms.source.conference-start-dateDec 18 2013
dcterms.source.conferencelocationShanghai, China
dcterms.source.placeNew Jersey
curtin.department
curtin.accessStatusFulltext not available


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