Implementing the ToF Transformations for Workflows in the Multiple Cloud Environments

Due to the wide range use of cloud computing services (SaaS, IaaS and PaaS) in real life utility apps, the performance and monetary cost optimization techniques were leads to open a new research area in cloud computing. In general, the process workloads, cloud offering and user expectations are different from workflow to workflow. In this case, the existing ad-hoc resource optimization techniques were failed to identify the reliable optimization values. To overcome this problem, in this paper it introduced a ToF transformation technology to optimize the workflows in multiple clouds. This approach will consider each workflow as a DAG and executes in a separate thread to determine the possible optimizations with each individual configuration. Experimental result are showing that our approach is assessing the possible optimize values for each dynamic configuration.