Optimal Bandwidth and Delay of Video Streaming Traffic in Cloud Data Center Server Racks

Abstract

The task of streaming video files or sources in data centers is challenging since data streaming must be implemented at a constant rate without any interruption. The task of streaming requires proper storage space, network bandwidth and efficient algorithms that tackle the changing environmental conditions. In this paper, we conduct research on the optimality of incurring delay and consuming bandwidth when video streaming is established in data center network (DCN) architectures. We first observe the behavior of such traffic patterns in eight server rack and sixteen server rack architectures and compare the simulation results. We then expand our study to observe the behavior of higher complexity data center network. In our study, we attempted to include realistic situations such as appropriate Proxy servers, adaptive bit rate streaming (ABS) feature, and virtual private network (VPN) security feature. We also conduct a study on high-resolution video and multicast traffic in such environments.