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the advent of cloud computing as a new model of service provisioning in distributed systems, encourages researchers to investigate its benefits and drawbacks in executing scientific applications such as workflows. one of the most challenging problems in clouds is workflow scheduling, i.e., the problem of satisfying the qos of the user like deadline as well as minimizing the cost of workflow execution. an existing work qos-based workflow scheduling algorithm based on a novel concept called partial critical paths (pcp), which tries to minimize the cost of workflow execution while meeting a user-defined deadline. today cloud provider’s mainly concentrate about the increasing their revenue. this will lead to the selfish behavior which may cause the qos violation of cloud users. in the existing work, fault tolerance is not considered when the resources are failed to process the submitted tasks. the fault tolerance is achieved in the proposed by migrating the vm’s. the experimental results proves that the proposed work provides better result than the existing methodology.
தமிழ், ஆங்கிலம் பத்தி ஆன்லைன்
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