Edge computing is created by combining mobile computing with the cloud network environment, which improves the capabilities and performance of mobile edge computing. Data transfer from Mobile Users (MU) to the cloud environment takes time and suffers from Service Delay due to a congested network, and users may be present at a remote place. To overcome this problem Mobile Edge Computing is introduced to reduce the latency and increase the throughput and also processing all incoming tasks from

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... tiple users at remote place with the use of base station. There is a need of effective Task Scheduling Algorithm for proper scheduling of all tasks receives from various workflows. This paper analyses various Task Scheduling algorithms and conclude with the comparison of performance of the algorithms based on some of the parameters like Throughput, Make Span and Execution Time.