Quantifying Performance Trade-offs in Network Virtualization for Cloud Computing Environments

Designing a cloud computing environment is a tradeoff performance between costs and way of providing services that System of virtualized networks may affect it. In order to alleviate this, abstractions have to be developed to quantitively measure and decide data plane abstraction performance costs in the cloud computing spaces. Here we provide a technical summary of the work that was aimed at quantifying performance tradeoffs in cloud computing settings from the angle of network virtualization. This study will consider the performance of two such important factors like network latency and resource utilization. Network latency: This is defined as the time taken for a given network packet to travel from a given source to the given destination. Resource utilization, on the other hand, refers to the amount of network resource that used, e.g. how much bandwidth or computational power is used. This will then be supplemented by control the experiment to perform simulations for understanding network configuration effects and simulation threats. This will help in keeping a picture of how these trade-offs affect the overall performance in network virtualization. This study's findings will help network and cloud computing architects in optimizing their networks and alleviating the performance penalties of virtualization. Consequently, this helps in reducing costs and enhancing performance in cloud computing environments.