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Client-Driven Joint Cache Management and Rate Adaptation for Dynamic Adaptive Streaming over HTTP

机译:客户端驱动的联合缓存管理和速率适配,用于基于HTTP的动态自适应流

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Due to the fact that proxy-driven proxy cache management and the client-driven streaming solution of Dynamic Adaptive Streaming over HTTP (DASH) are two independent processes, some difficulties and challenges arise in media data management at the proxy cache and rate adaptation at the DASH client. This paper presents a novel client-driven joint proxy cache management and DASH rate adaptation method, named CLICRA, which moves prefetching intelligence from the proxy cache to the client. Based on the philosophy of CLICRA, this paper proposes a rate adaptation algorithm, which selects bitrates for the next media segments to be requested by using the predicted buffered media time in the client. CLICRA is realized by conveying information on the segments that are likely to be fetched subsequently to the proxy cache so that it can use the information for prefetching. Simulation results show that the proposed method outperforms the conventional segment-fetch-time-based rate adaptation and the proxy-driven proxy cache management significantly not only in streaming quality at the client but also in bandwidth and storage usage in proxy caches.
机译:由于代理驱动的代理缓存管理和基于HTTP的动态自适应流(DASH)的客户端驱动的流解决方案是两个独立的过程,因此在代理缓存中进行媒体数据管理以及在代理处进行速率调整时会遇到一些困难和挑战。 DASH客户端。本文提出了一种新的客户端驱动的联合代理缓存管理和DASH速率自适应方法,称为CLICRA,该方法将预取智能从代理缓存转移到客户端。基于CLICRA的原理,本文提出了一种速率自适应算法,该算法通过使用客户端中预测的缓冲媒体时间来为下一个要请求的媒体段选择比特率。 CLICRA是通过将可能随后要获取的段上的信息传送到代理缓存来实现的,因此它可以使用该信息进行预取。仿真结果表明,该方法不仅在客户端的流传输质量上,而且在代理缓存中的带宽和存储使用方面均优于传统的基于段获取时间的速率自适应和代理驱动的代理缓存管理。

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