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A new method for scheduling workflow in cloud computing using the neural network runtime prediction mechanism
Volume 3, Issue 3, 2021, Pages 35 - 44
1 Department of Electrical and Computer Engineering, Fasa Agricultural Technical College, Fars Province Technical and Vocational University, Iran
2 Department of Electrical and Computer Engineering, Fasa Agricultural Technical College, Fars Province Technical and Vocational University, Iran
3 RelationshipManager Pardis Computer Center Fasa,Fars,Iran
Abstract :
Cloud computing is a new measure for the development of enterprise applications that can effectively facilitate the implementation of workflow in the business process management system. Workflow technology in business processes is able to manage the new needs of companies and improve their productivity satisfactorily. Transferring workflows to the cloud computing environment enables organizations to use a variety of cloud services to facilitate their workflow. Workflow scheduling is one of the key issues in managing workflow execution. In this study, the neural network will be used for the problem of scheduling workflow in cloud networks. Most of the work done in the past has been using evolutionary algorithms. If these algorithms have a lot of computational complexity, therefore The neural network algorithm has been used and the results have been compared with the genetic algorithm. The results show the superiority of using this algorithm in scheduling the workflow in the cloud.
Cloud computing is a new measure for the development of enterprise applications that can effectively facilitate the implementation of workflow in the business process management system. Workflow technology in business processes is able to manage the new needs of companies and improve their productivity satisfactorily. Transferring workflows to the cloud computing environment enables organizations to use a variety of cloud services to facilitate their workflow. Workflow scheduling is one of the key issues in managing workflow execution. In this study, the neural network will be used for the problem of scheduling workflow in cloud networks. Most of the work done in the past has been using evolutionary algorithms. If these algorithms have a lot of computational complexity, therefore The neural network algorithm has been used and the results have been compared with the genetic algorithm. The results show the superiority of using this algorithm in scheduling the workflow in the cloud.
Keywords :
Cloud Network, Neural Network, Workflows
Cloud Network, Neural Network, Workflows