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Cloud computing has recently been evolved in terms of the dynamic provision of computing resources to the users based on payment for usage on a pay-as-you-go basis. This provides feasibility to gain access to the large-scale and high-speed resources without establishing their own computing infrastructure to execute high-performance computing (HPC) applications. However, for the past several years, the efficient utilization of resources on a compute cloud has become a prime interest of the scientific community. One of the major causes behind inefficient resource utilization is the imbalance distribution of workload in a distributed computing. This paper contemplates the scheduling objectives of contemporary state-of-the-art heuristics to investigate their behavior to map HPC jobs to resources. Furthermore, the status of workload distribution in cloud computing is also critically assessed. A set of nine scheduling …