Large scale data processing is increasingly common in Cloud Computing systems. In these systems, files are split into many small blocks and all blocks are replicated over several servers. To process files efficiently, each job is divided into many tasks and each task is allocated to a server to deal with a file block. Because network bandwidth is a scarce resource in these system. In Cloud Computing, traditional way for task scheduling cannot measure the cost of cloud resources accurately by reason that each of the tasks on cloud systems is totally different between each other. There may be no relationship between the overhead application base and the way that different tasks cause overhead costs of resources in cloud systems. The traditional way for task scheduling cannot meet the cloud market well enough. An optimized algorithm for task scheduling based on ABC (Activity Based Costing) in Cloud Computing reduces the total time required to schedule the task.

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Cloud computing task scheduling activity based costing optimized algorithm Decryption