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Today's datacenter is shared among various applications with different QoS requirements, which poses a great challenge to deliver low delay transport with high throughput. Most of works address this challenge by reducing the in-network delay, but assumes a negligible local delay. However, we show that this assumption does not hold for a multi-tenant datacenter that a physical machine is shared by...
Mobile data networks exhibit highly variable data rates and stochastic non-congestion-related packet loss. These challenges result in key performance bottlenecks in current Transmission Control Protocol (TCP) implementations: bandwidth inefficiency and large end-to-end delay. This work addresses these challenges by first developing a Sliding Interval based Rate Adaptation (SIRA) that tracks bandwidths...
Mobile video streaming services are ubiquitous today and yet their real-world performance is still largely inconsistent, unpredictable, and uncontrollable, primarily due to mobile networks' inherent bandwidth fluctuations at both short and long timescales. With the rapid emergence of paid streaming services, picture and streaming qualities can no longer be an afterthought. This work develops a novel...
Current mobile video streaming is primarily delivered over HTTP. In addition to conventional web access logs, many service providers also log the data usage for billing and analytics purposes. This work exploits these vast amount of bandwidth trace data to enable the provisioning of streaming performance and video quality guarantees in adaptive mobile video streaming. We develop a post-streaming analysis...
Adaptive video streaming is an essential tool for improving the performance of video delivery over mobile networks. By dynamically switching between different bit-rate versions of the same video, adaptive video streaming can compensate for and adapt to the ever-changing network conditions inherent in today's 3G/4G networks. However, existing adaptive streaming algorithms, both academic and commercial...
Bandwidth-sensitive applications such as adaptive video streaming rely on accurate prediction of future network throughput to enable them to react to and compensate for the rapidly fluctuating bandwidth often found in mobile networks. Researchers have developed various prediction algorithms in the literature of which many have been employed in real-world applications. However, there is a lack of systematic...
Much work has been done to improve the performance of video streaming over mobile data networks. The widespread adoption of HTTP/TCP for video streaming further complicates the problem as TCP's own dynamics add even more fluctuations to the already unpredictable network bandwidth. Not surprisingly, none of the existing video bit-rate selection algorithms can achieve consistent or predictable streaming...
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