Cloud

Time and Cost Optimization Algorithm for Scheduling Multiple Workflows in Hybrid Clouds

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Executive Summary

As the intent to promote Cloud Computing, evolves into genuine researches. Due to the raise in convention of many applications currently, there is a necessity for high processing and storage capacity along with the consideration of cost and instance use. To provide proficient resources, Cloud computing is been pioneered. In this paper, Time and Cost optimization for Hybrid Clouds (TCHC) algorithm is proposed to reduce the execution time and cost of multiple workflows scheduling. The users now-a-days don't want to get stuck to their own cloud providers to execute or schedule the multiple workflows. Many organizations have their own private cloud, but when there is a need for extra resources they go for public cloud where they have been outlaid for their use.

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