A Comparative Study of Task Scheduling Algorithm in Cloud Computing

Nowadays, cloud computing plays an important role in both academia and industry. However, due to high demands from the clients and limited resources, it is required to transfer a few workloads to other data centers. This process helps to complete the applications submitted to the data centers even through more flexible and cheaper resources. As there are many tasks lined up at the server side and the resources are heterogeneous in nature, scheduling the tasks in multi-cloud environment is always a challenge. The loads should be processed in such a way that all the resources are used very efficiently. In this work, we have performed a comparative study on different task scheduling algorithms proposed in the literature in cloud computing.

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