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A large number of computing servers and personal electronic devices waste a tremendous amount of energy and emit a considerable amount of carbon dioxide, which is the major contribution to the greenhouse effect. Thus, it is necessary to significantly reduce pollution and substantially lower energy usage. Green computing techniques are utilized in a myriad of applications in energy conservation and...
Currently, a large number of cloud computing servers waste a tremendous amount of energy and emit a considerable amount of carbon dioxide. Thus, it is necessary to significantly reduce pollution and substantially lower energy usage. This paper seeks to implement six innovative green task scheduling algorithms that have two main steps: assigning as many tasks as possible to a cloud server with lowest...
Two traditional heuristic task scheduling algorithms (STFCMEF-MS algorithm and LTFCMEF-MS algorithm) are developed to solve a multi-task scheduling problem on multiple computers to reduce energy consumption and finish required tasks before a deadline. Two new green task scheduling algorithms (STFCMEF-SA algorithm and LTFCMEF-SA algorithm) are proposed to solve the same problem. Since the energy is...
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