Journal of Theoretical and Applied Information Technology 31 st December 2019. Vol.97. No 24 © 2005 – ongoing JATIT & LLS ISSN: 1992-8645 www.jatit.org E-ISSN: 1817-3195 3730 ENERGY EFFICIENCY AND SCHEDULING TECHNIQUES USING CLOUD COMPUTING METHODS WITHIN DATA CENTERS YAO FRANCOIS MICHAEL KRA 1 , SAAD MASOOD BUTT 2, NOAH KWAKU BAAH 3 , IMRAN MEMON 4 , BOAFOH KYEI BAFFOUR -5 , FRANCK ADDO MANTE- 6 , MALO TEHINKE ACHILLE -7 1- 3 School of Computer Science and Engineering, Southeast University, Nanjing, Jiangsu Province, China 2- Atlantic International University, Honolulu, HI 96813, United States 4- College of Computer Science, Zhejiang University, Hangzhou, Zhejiang Province, China 5-6 College of Computer and Information Engineering, Hohai University, Nanjing, Jiangsu Province, China 7- Institute of Functional Nano and Soft Materials, Soochow University, Suzhou, Jiangsu Province, China ABSTRACT 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. Keywords: Data Green Centers, Task scheduling, Cloud Computing, Energy Efficiency, Scheduling Algorithms 1. INTRODUCTION Resourcefully big data centers cause a significant problem Data Center’s consumption of power has substantially augmented for decades to an extraordinary level. Today’s ICT economy growth, incentives, and data digitization have based on cloud platforms. Organizations run huge data centers and transfer large data amongst their sub-branches Infrastructure providers. For that matter, power consumption in the United Stated of America where most of the largest data centers such as Google, Facebook, Amazon, IBM, and others has located is in prominently confronted with an increment of expenditure growth for data centers’ electricity usage. Based on a report by National Resources Defense Council stated that, “In 2013, the U.S. Data Centre consumed an estimated average 91 billion kilowatts per hours of electricity”. It has shown that electricity used supply all the inhabitants in New- York-City keep doubling for the past years. Moreover, is also on track to increase and submerge an estimated average of 140 billion kilowatts per hours by the year 2020. The equivalency which has been the annual output of thirty-four (34) massive “500-megawatt coal-fired power plants”. The electricity usage in Data center is forecasted to rise to about “140 billion kilowatt-hours annually by 2020”, which estimated value would be correspondent to the yearly output of about 49 energy plants. The costs which arise cause American businesses about “$13 billion annually in electricity bills and emits close to 100 million metric tons of carbon pollution per year”. Power demands for computing have been expanding steadily due to