• S. ANANTHI
• Dr.P.VAISHNAVI

Cloud computing is considered as a great significance in recent technologies and also in IT sector. The tremendous growth in data produces heavy amount of carbon emission and also consume nearly half of the total energy consumption. Various kinds of scheduling algorithm are implementing to lessen the execution time but the ultimate issue energy consumption not yet considered. Energy aware scheduling algorithm is which is concentrate on both makespan and also in energy consumption. The Proposed methodology provides a novel scheduling algorithm based on the factors workload and job type to predict the makespan and also energy consumption. The motivation of this scheduling algorithm is to achieve the energy efficient green task scheduling and optimize the scheduler that using the sigmoid neural task predictor is the ultimate task for implementation

Energy efficient, Load predictor, Job scheduling, carbon emission

"AN ENERGY EFFICENT ENHANCED LOAD BALANCE TECHNIQUE USING MIN MIN SCHEDULING ALGORITHM (E3LBMIN)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 5, page no.b762-b768, May-2021, Available :http://www.jetir.org/papers/JETIR2105224.pdf

"AN ENERGY EFFICENT ENHANCED LOAD BALANCE TECHNIQUE USING MIN MIN SCHEDULING ALGORITHM (E3LBMIN)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 5, page no. ppb762-b768, May-2021, Available at : http://www.jetir.org/papers/JETIR2105224.pdf