Аннотация:Cloud computing is the new form of distributed system to store and compute the large amount of data and solve complex computational problems. The size of data and computational complexity is increasing day by day. It leads us to find out an efficient solution to scheduled and dispose them properly in large cloud computing environment. The major demand to analyze large scientific issues is Workflow. In workflow scheduling, the problem is divided into the smaller dependent tasks, solve individually in either sequential or parallel mode and finally combined to leads the desired output. Workflow scheduling is NPC (NP Complete) problem, which attracts researchers to explore the solution. In this paper, we propose a extensive and systematic analysis of nature inspired workflow scheduling algorithms in heterogeneous cloud environment. Moreover, it gives a classification of nature inspired algorithms and highlights their aim, properties and their limitations. Finally, we desire to furnish a comprehensive and complete perceptive of current nature inspired literature and assist researchers by equipping them an observation into future trends and unsolved issues.
