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Classification of Gene Expression Data on Public Clouds Christian Vecchiola1 , Mani Abedini, Michael Kirley, Xingchen Chu1 , and Rajkumar Buyya1 1 Cloud Computing and Distributed Systems (CLOUDS) Laboratory Dept. of Comp
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Document Date: 2009-08-28 00:34:04


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Distributed Systems / Amazon / Google / Red Hat / IOS Press / Learning Classifier Systems / VMWare / Microsoft / /

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Facility

Software Engineering The University of Melbourne / Laboratory Dept. / H. H. Dam / /

IndustryTerm

large computing infrastructure / environments and tools / web applications / execution services / client server / software containers / storage management / software tool / expression technology / server infrastructure / parameter sweeping applications / data mining / software level / legacy applications / public computing platforms / microarray technology / software services / command line tools / classifier systems / virtualization technologies / Web Services users / dimensional search problems / physical infrastructure / search space / Scientific computing / storage services / web services orchestration / cloud services / suitable solution / /

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Red Hat Linux / Windows Server 2003 / /

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University of Melbourne / EC2 Compute Unit / Congress / Evolutionary Intelligence / An EC2 Compute Unit / /

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Michael Kirley / Aneka / D. G. Green / V / Mani Abedini / Offspring / /

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distributed client server XCS model for distributed data mining / scheduler / /

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Linux / /

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Java / SQL / /

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New York / Michigan / Pennsylvania / Georgia / /

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Machine Learning / Lecture Notes in Computer Science / /

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Asia-Pacific / /

Technology

virtual machine / bioinformatics / au Abstract Microarray technology / Decision Tree Induction Algorithm / Linux / machine learning / DNA microarray technology / operating system / virtualization technologies / 2.1 Methods Algorithm / 2007 Xeon processor / Java / DNA Chip / Gene Expression / Introduction Gene expression technology / chemotherapy / Cloud Computing technologies / data mining / drug design / /

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