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Cloud Computing offers wide computation and resource facilities for execution of various application workflows. Many different resources involved in execution of single workflow. Cloud Computing offers highly dynamic environment in which the system load and status of resource changes frequently. As the workload increases with increase in Cloud Services and clients there is a need to handle these requests or jobs. It needs to schedule them first to execute on different available VMs. The execution of Cloud workflows faces many uncertain factors in allocating and scheduling workload. The first step is to provide an efficient workflow allocation model by considering the client's requirements.
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