Time Optimization Modeling for Big Data Placement and Analysis for Geo-Distributed Data Centers

Big data storage and sharing are becoming the major demand of the community. To overcome such issues, virtually unified data facilities are being presented with geodistributed data centers by providing the user with the single unified namespace. These unified data storage facilities lack efficient storage and analysis of data. To address these shortcomings in such unified data facilities, we designed and implemented time optimization model which minimizes the job execution time whereby selecting optimal data center with constraints of storage, computational and network bandwidth among all data centers. Our extensive simulation results show that our model provides the optimal decision that leads to minimal end-to-end data placement and analysis times.