Introducing a Fuzzy Method for Mapping Processes with Communications in Cloud Computing

In a parallel application which is divided into several tasks, choosing the right resource and sending tasks to the resources is an important challenge. Selecting the resources for each task in a way that the execution time of the application and usage of resources be appropriate is known as mapping tasks to the resources. In this paper, mapping and scheduling parallel applications, which have communications between their tasks, is investigated in the cloud environment. Our proposed method tries to reduce the execution time and also resource usage time by utilizing the fuzzy logic and reducing the communication overhead. In the end, the proposed method is compared with Max-Min-C and Min-Min-C algorithms, and results show a significant improvement.