A genetic algorithm enhanced automatic data flow management solution for facilitating data intensive applications in the cloud

摘要

The past few years have witnessed a rapid deployment of computing infrastructures in the cloudin support of data intensive applications. The effort of the existingworks ismainly focused on datareusing mechanisms without considering data processing routes, which can significantly affectthe computation costs when exchanging data among the computing node in the cloud. This paperpresents a genetic algorithmenhancedAutomaticDataFlowManagementSolution (ADFMS)thatfacilitates automatic routing function and a self-adjustable intermediate data management mechanismto achieve an efficient data processing structure of cloud computing. Experimental resultsshow that ADFMS optimizes costs inmanaging intermediate data in the cloud.