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Scalable Deployment of a LIGO Physics Application on Public Clouds: Workflow Engine and Resource Provisioning Techniques Suraj Pandey, Letizia Sammut, Rodrigo N. Calheiros, Andrew Melatos, and Rajkumar Buyya
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Document Date: 2015-01-23 17:32:18


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File Size: 1,23 MB

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City

New York / Melbourne / /

Company

IBM / Distributed Systems / Amazon / PaaS Clouds / Workflow Management Systems / Number / Microsoft / RightScale / /

Country

Australia / /

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Facility

Laser Interferometer Gravitational-Wave Observatory / The University of Melbourne / /

IndustryTerm

scientific applications / e-commerce application / Web Service Web Service / large-scale applications / software components / Web Portal / name platform services / multi-physics applications / Web Service / search algorithms / engine capacity/load calculating algorithm / proposed architecture groups such systems / end-user applications / platform services / software applications / middleware solution / gravitational wave search / auto-scaling infrastructure / capacity calculation algorithm / load balancing algorithm / computing / search space / above systems / simultaneous applications / green energy use / software application / web services / /

OperatingSystem

VMs / /

Organization

University of Melbourne / A. Melatos School of Physics / Department of Computing and Information Systems / /

Person

Rajkumar Buyya Abstract Cloud / Letizia Sammut / Andrew Melatos / Rodrigo N. Calheiros / Resource Provisioning Techniques Suraj Pandey / /

Position

free worker / amelatos@unimelb.edu.au R.N. / /

Product

Cloudbus Workflow Engine / Cloud / /

ProgrammingLanguage

php / L / /

Technology

virtual machine / capacity calculation algorithm / corresponding scheduling algorithm / X-ray / load balancing algorithm / search algorithms / laser / load balancing / flash / engine capacity/load calculating algorithm / /

URL

http /

SocialTag