Abstract
In this paper, we present a number of simulation results on the study of edge computing and deploy the performance of voice and video streaming along with a proposed solution to avoid the degradation of streaming. The primary goal of this paper is to analyze media streaming in the long-distance communications associated with edge devices. We analyze and estimate the end-to-end traffic performance by comparing different streaming techniques. By considering certain network scenarios, we calculate critical levels of packet drop and the throughput between the routers, clients and servers. The performance of the network is monitored by calculating the traffic with different bit rates and point-to-point utilization and throughput by assigning different routing protocols. The network architecture has been improved with the use of traffic shaping and by creating the background traffic that is mainly created to see if packets are prioritized when we use packet shaping to prioritize the data.
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Mir, N.F., Santhanam, C., Sharma, K. (2022). Finding Critical Packet-Drop Levels of Streaming at Cloud Edge Networks and the Proposed Solution. In: Arai, K. (eds) Intelligent Computing. Lecture Notes in Networks and Systems, vol 283. Springer, Cham. https://doi.org/10.1007/978-3-030-80119-9_27
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DOI: https://doi.org/10.1007/978-3-030-80119-9_27
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Online ISBN: 978-3-030-80119-9
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