Carbon-aware distributed cloud: multi-level grouping genetic algorithm
作者： Fereydoun Farrahi Moghaddam , Reza Farrahi Moghaddam , Mohamed Cheriet
DOI: 10.1007/S10586-014-0359-Y
关键词: Cloud computing 、 Distributed computing 、 Bin packing problem 、 Computer science 、 Reduction (complexity) 、 Global warming 、 Green computing 、 Greenhouse gas 、 Genetic algorithm 、 Distributed algorithm 、 Carbon footprint
摘要: Global warming caused by greenhouse gas (GHG) emissions is one of the main concerns for both developed and developing countries. In a fast growing Information Communication Technology industry, current energy efficiency methodologies are not sufficient new raising problems such as optimization complex distributed systems. Therefore, proper tailored this type systems could significantly reduce their GHG emissions. paper, genetic algorithm (GA) introduced, namely multi-level grouping GA (MLGGA), which designed bin packing that carbon footprint reduction in cloud over network data centers. The MLGGA tested on real simulation platform, its results compared with other state-of-the-art methodologies. show significant increase performance achieved proposed algorithm.
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