期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2019
卷号：97
期号：24
页码：3730-3751
出版社：Journal of Theoretical and Applied
摘要：As knowledge increases and technology advances, a large pool of data has become available to man. With data growing endlessly every day, data centers have become important in ICT, emphasizing the need to ensure efficient use of energy. Due to the high quantity of electricity consumed by these data centers, Data centers in the U. S. alone has been estimated to consume about 92-billion -kilowatt-hours of voltage during the year 2013. By 2020, the power consumed is predicted to reach 140-billion kilowatt hours and estimated to causes release of about 145-million metric-tons of carbon substances yearly. Datacenters have rapidly come to be the pillar of the global mobile system. In the present paper, we surveyed on various techniques used for efficient scheduling of tasks in datacenters and also reviewed the traditional scheduling algorithms advantages and their disadvantages to better insight new researchers in this field of research. We discussed contributing issues to data centers energy inefficiency such as Physical servers, Energy-efficient hardware, energy efficient workflows, Cooling Equipment, and Power plants. We recommended some optimal techniques and prospect directions regarding the future development of new algorithms to overcome some of the energy inefficiency drawbacks in the cloud data centers.
关键词：Data Green Centers; Task scheduling; Cloud Computing; Energy Efficiency; Scheduling Algorithms
