A Cost Minimization Implementation Data Processing for BigData Application

Abstract

Currentexertions have advanced a promising method, calleddata analytic, which uses statistical and cloud computing toreduce using size of Big Data to a controllable size to extractinformation, build a knowledge base using the derived data,and eventually develop a nonparametric model for the BigData.Diverse from conventionalcloud services, one of the main structures of big data services is the tight coupling between data and computation ascomputation tasks can be conducted only when the corresponding data are available. As a result, three factors, i.e., taskassignment, data placement, and data movement, deeply influence the operational expenditure of data centers. In thispaper, we are interested to study the cost minimization problem and optimization of these factors for big data servicesin geo-distributed data centers.