Review on different Meta-Heuristic Techniques for Parallel Computing

This paper represents the parallel computing as a kind of computation in which many computations or the running of processes are carried out simultaneously as well as scheduling and resource allocation to optimize performance criteria in multi-cluster heterogeneous environments is known for NP-hard problems. Multi-cluster environments are commonly represented as a substitution to high-performance computing for solving large-scale optimization problems. The review has shown the various meta heuristic techniques which has proved their usefulness to find the optimal schedules in large-scale distributed environments. It also shows the comparison of Meta heuristic techniques which evaluates the real workload trace as well as shows the advantages and disadvantages with respect to other well-known techniques discussed in the literature.