Conversational Artificial Intelligence

12Performance Analysis of Cloud Hypervisor Using Network Package Workloads in Virtualization

J. Mary Ramya Poovizhi^* and R. Devi

Schools of Computing Science, Dept. of Computer Science, Vels Institute of Science, Technology and Advanced Studies (VISTAS), (Deemed to be University), Chennai, India

Abstract

AWS (Amazon Web Services), Microsoft Azure, Cloud Zero, Kubernetes, and Google App Engine are cloud computing service providers that can manage client workloads and applications through virtualization and containerization. Computing resources are provided by large data centers that consume large amounts of energy, contributing to global warming. Today’s businesses and economies rely heavily on cloud data centers, the world’s fastest-growing power users. The latest DCN has two main challenges: scalability and efficiency. A DCN’s design directly impacts its scalability, but its power consumption is a significant factor in its cost. If this trend continues, many scientists predict that servers will consume more energy over their lifetime than they cost. Large-scale infrastructure facilities such as clustering, grids, and clouds consisting of thousands of heterogeneous computers present even more significant energy consumption problems. This paper addresses the energy consumption problem of the hypervisor shown in the cloud data center. A single hypervisor does not exhibit the same performance on all platforms as other hypervisors in terms of power and energy consumption. Several ...