Vertical/Horizontal Resource Scaling Mechanism for Federated Clouds

recently, big data computing in cloud systems is an important issue. Cloud computing tries to satisfy users' demands and provide services by sharing hardware and software resources. Therefore, using the virtualization technology to enhance system performance is an important goal. In practical, single cloud cannot provide unlimited services with limited physical resources. Therefore, this study proposes a vertical/horizontal resource scaling mechanism for federated clouds. When single virtual machine is unable to satisfy user requests, the proposed mechanism will allocate new resources in the federated clouds by vertical/horizontal scaling fashions. In general, horizontal scaling obtains more computing power by adding more virtual machines, and vertical scaling obtains more computing power by adding resources in the virtual machine. The vertical-scaling system not only enhances the system performance but also increases physics machine utilization. But the vertical- scaling system incurs the communication latency problem. Therefore, this study focuses on the vertical /horizontal scaling approach for reducing the minimum turnaround time and for improving the cost efficiency. Our study assessments the cloud computing capability by using cost efficiency (throughput/price per minute). Performance for NAS Parallel Benchmarks (for example, Parallel (EP), Conjugate Gradient (CG), Integer Sort (IS)) is evaluated. Experimental results show that our approach cloud reduce communication overhead and improve the resource utilization and throughput. Keywords - federated cloud, vertical scaling, horizontal scaling.