| Document Date: 2015-01-12 20:31:25
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City Oakland / / Company Distributed Systems / Amazon / Future Generation Computer Systems / Analytics Press / / Country United States / / Currency USD / / / Event Environmental Issue / / Facility Information Systems The University of Melbourne / Laboratory Department / / IndustryTerm baseline algorithm / average energy consumption / energy-efficient cloud computing / workflow applications / ow-based infrastructure / disaster management / urgent applications / cloudaware scheduling algorithm / low-energy state / cloud-aware algorithm / energy-efficient execution / aware computing / urgent computing / massive energy consumption / lmax energy consumption / efficient server / resource provisioning algorithms / energy sources / online deterministic algorithms / close energy performance / healthcare / energy efficient / energy-aware algorithm / cloud systems / energy-aware heuristic scheduling algorithm / energy-efficiency strategies / energy savings / energy consumptions / energy-efficient scheduling decisions / energy / energy utilization / energy-saving measures / real-time multicore / proposed scheduling algorithm / energy consumption model / actual energy consumption / similar solution / typical infrastructure / parallel applications / energy-efficient algorithm / web servers / energy consumption / bag-of-tasks applications / electricity consumption / power-aware cluster systems / valid solution / task scheduling algorithms / computationalintensive services / energy-efficient use / energy-efficient placement / cloud computing environments / cloud-aware scheduling algorithm / energy efficiency / physical infrastructure / energy-efficient / computing / data center electricity use / energy efficient scheduling / energy aware scheduling / Cloud computing / energy-efficient scheduling algorithm / on-chip / energy-efficient class / lowlevel services / cloud services / focused on reducing energy consumption / / OperatingSystem VMs / / Organization University of Melbourne / Laboratory Department of Computing / / Person Rodrigo N. Calheiros / / Position virtual machine manager / manager for its operation / R. N. / / Product CloudSim / / ProgrammingLanguage R / / Technology virtual machine / proposed scheduling algorithm / RAM / baseline algorithm / few algorithms / Energy-efficient task scheduling algorithms / energy-efficient algorithm / energy-efficient scheduling algorithm / using on-chip / Operating System / energy-aware heuristic scheduling algorithm / Operating Systems / energy-aware algorithm / cloud-aware algorithm / resource provisioning algorithms / proposed algorithm / CPU processors / cloud-aware scheduling algorithm / 346 A. Baseline Algorithm / online deterministic algorithms / simulation / cloudaware scheduling algorithm / / URL http /
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Energy-Efficient Scheduling of Urgent Bag-of-Tasks Applications in Clouds through DVFS