Cloud computing is one of the most promising technology. When using hybrid cloud we all don't know in which order the processes will be submitted to the private and public cloud. As some processes need to be more secure than other processes. Private Cloud is meant for security and privacy than public cloud. They need some mechanism that how these processes will be executed on private cloud or public cloud. So better is to prioritize the processes. A novel way is presented where an Artificial Neural Network model is designed to reprioritize the cloud computing processes with extended parameters. ANN being an Artificial Intelligence Technique is meant for accuracy. The results shows that the proposed technique helps in improving accuracy
In the recent years, there is a wide increase in the demand of cloud computing because of its endless advantages like reduced infrastructure cost, scalability, virtualization, on demand service etc. This technology has brought a great revolution in the field of Information Technology. Resource Provisioning is an area in cloud computing where resources are provisioned to the processes in such a way that every coming process can get its demanded resource in time and can complete its execution in time and that too with full privacy. For our model proposed, we have taken existing work in hybrid cloud environment. We have used Fuzzy Logic as a tool for redefining the priorities to the processes. In this paper, a Fuzzy Logic based model is proposed to reprioritize Cloud Computing process requests using extended parameters. The central idea is to develop a conceptual model for prioritizing processes on the basis of their age, execution time and security factors. For considering these factors, human expertise is needed. Therefore, we have incorporated Fuzzy Logic in the system where the Fuzzy inference system will decide the priorities of the processes.
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