• Dasaradh Ramaiah K
• Aarthi Priya.R
• Krishna Prasanna.M

Cloud Computing is a hardbackstandpoint for large scale distributed computing and parallel processing. Normally it serves computing as a utility service as pay per use. The users task/process which is submitted on to the cloud purely depends cloud serves performance and high efficiency. To improve the performance of the cloud services, scheduling plays vital role on users process/task. Task scheduling is one of the main types of scheduling performed. The brief study of different task scheduling method which is used mostly is task scheduling in the cloud computing. But in cloud computing environment the major problem which decreases the performance is task scheduling. To improve system performance of the cloud, over there need an efficient task-scheduling algorithm. The main focus of the currenttask-scheduling algorithms is task-resource requirements, CPU memory, execution time and execution cost. Nevertheless, these things will not consider network bandwidth.The virtual machines will act as scheduling machines while we doing scheduling the task.For maintain the correct load on the processor regarding network bandwidth and increase the usages of the processor and more over to maintain the efficiency to decrease the task execution time(Minimum-Execution-Time) by applying scheduling algorithms in cloud environment. By providing the scheduling algorithms onto the cloud, it will control the completion time.

Task scheduling; Minimum-Execution-Time, Completion time

"ENHANCED TASK SCHEDULING ALGORITHMS FOR CLOUD ENVIRONMENT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.862-870, August-2018, Available :http://www.jetir.org/papers/JETIR1808880.pdf

"ENHANCED TASK SCHEDULING ALGORITHMS FOR CLOUD ENVIRONMENT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp862-870, August-2018, Available at : http://www.jetir.org/papers/JETIR1808880.pdf