A cost-aware algorithm for placement of enterprise applications in federated cloud data center

Nowadays, many enterprise applications with a global coverage, huge volume and dense communication are deployed in the cloud. Federated data center (DC), where multiple cloud providers (CPs) share their resources, presents a scalable platform to serve such applications [1]. The main goal CPs is minimizing the operating cost. Energy consumption contributes a major fraction of operating cost; up to 50% [2]. Further, enterprise applications contain a large number of virtual machines (VMs) with huge data exchange up to 500 TB per day [3]. Subsequently, energy and bandwidth must be considered during VM placement to minimize the operating cost.