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Efficient Scheduling of Scientific Workflows with Energy Reduction using Novel Discrete Particle Swarm Optimization and Dynamic Voltage Scaling for Computational Grids 1 M.Christobel
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Document Date: 2015-03-03 21:10:06

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File Size: 1,22 MB

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City

Tamilnadu / /

Company

India 3 HPC Cloud Research Laboratory / /

Currency

pence / /

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Facility

Ponjesly College of Engineering / India National Engineering College / Xavier’s Catholic College of Engineering / /

IndustryTerm

energy improvement / cumulative energy / scientific applications / multiprocessor real-time systems / workflow applications / built-in processor / grid computing platforms / energy consumption leads / sufficient energy reduction / energy etc / chemical reaction / enormous energy consumption / energy / heuristic based greedy energy / real world computing environment / energy consumption / heuristic algorithm / genetic algorithm / feasible solution / personal best solution / power-aware scheduling algorithms / data management / mean energy consumption / water drop algorithm / reaction optimization algorithm / energy efficient algorithms / grid scheduling algorithms / signal processor / communications etc / energy aware scheduling / energy physics / heterogeneous computing environment / dynamic computing applications / grid computing system / gbDPSO algorithm / large scale applications / /

Organization

India National Engineering College / Ponjesly College of Engineering / FCFS DPSO / US Federal Reserve / St.Xavier’s Catholic College of Engineering / /

Person

Susanne Albers / Joanna Kolodziej / Albert Y.Zomaya / Kyong Hoon Kim / /

Position

Intra-grid scheduler / salesman / Corresponding Author / Inter-grid scheduler / voltage and frequency scaling model for the management / scheduler / /

Technology

heuristic algorithm / power-aware scheduling algorithms / gbDPSO algorithm / proposed DPSO algorithm / Intelligent water drop algorithm / Chemical reaction optimization algorithm / Particle Swarm Optimization Algorithm / PSO algorithm PSO algorithm / DPSO algorithm / Look-Ahead genetic algorithm / Genetic algorithm / grid scheduling algorithms / scheduling algorithm / 441 869 1724 436 866 1721 436 864 1719 Algorithms / Quality of Service / two scheduling algorithms / Threshold Accepting algorithm / computing processor / Drug discovery / computing processors / built-in processor / service level agreement / /

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