Evaluation of HTTP/DASH Adaptation Algorithms on Vehicular Networks

Abstract

Video streaming currently accounts for the majority of Internet traffic. One factor that enables video streaming is HTTP Adaptive Streaming (HAS), that allows the users to stream video using a bit rate that closely matches the available bandwidth from the server to the client. MPEG Dynamic Adaptive Streaming over HTTP (DASH) is a widely used standard, that allows the clients to select the resolution to download based on their own estimations. The algorithm for determining the next segment in a DASH stream is not part of the standard, but it is an important factor in the resulting playback quality. Nowadays vehicles are increasingly equipped with mobile communication devices, and in-vehicle multimedia entertainment systems. In this paper, we evaluate the performance of various DASH adaptation algorithms over a vehicular network. We present detailed simulation results highlighting the advantages and disadvantages of various adaptation algorithms in delivering video content to vehicular users, and we show how the different adaptation algorithms perform in terms of throughput, playback interruption time, and number of interruptions.

Time-efficient evaluation of adaptation algorithms for DASH with SVC: dataset, throughput generation and stream simulator

“…Low buffer experience time consists of five counters. The low buffer term is defined as five time regions ([0, 1], [1,2].. [4,5] seconds), and whenever the buffer stays in one of these regions during the streaming, the corresponding counter is incremented. The user selects evaluation parameter as well as the throughput parameters which the output are illustrated for.…”

“…In [4], an environment is designed for assessment of popular adaptive HTML5 players using Mininet emulation. In [5], evaluation of authors' previous study fDASH [6] and some of the recent implementations are provided with the help of measured bitrate and interrupt duration in vehicular scenarios. These researches have a common approach of focusing on results which are achieved with low number of trials in mostly non-reproducible test conditions.…”

Research on Vehicle-to-Road Collaboration and End-to-End Collaboration for Multimedia Services in the Internet of Vehicles

“…For edge caching, some scholars have proposed a scheme using different time scales at the application and physical layers and developed a dynamic caching algorithm to obtain video quality adaption, cache placement, and radio bandwidth allocation decisions [12] . Some scholars also consider the performance of various DASH adaptive algorithms on in-vehicle networks, and it can be found that different algorithms have advantages and disadvantages in providing in-vehicle multimedia content services [13] . Author Feng [14] proposes a joint cache allocation and multicast delivery scheme for reactive systems delivering video on demand, and develops a joint design of cache bandwidth allocation algorithm and delivery mechanism for active systems playing video periodically.…”