CDN Modeling

Bektaş, Tolga; Erçetin, Özgür

doi:10.1002/9781118909690.ch9

Cited by 1 publication

(1 citation statement)

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“…However, as time goes on, the interactions between a user client and the multiple data sources become far more complex today than those were a few years ago. If not designed properly, multi-source downloading can result in worse performance with higher network and monetary overhead [12][13][14], in comparison to the original single-source downloading. This phenomenon is referred to as an performance anomaly of multisource downloading.…”

Section: Introductionmentioning

confidence: 99%

Profiling the Performance Anomalies of Multi-Source Media Downloading at Scale in the Wild

Chen¹,

Yang²,

Li³

2018

Proceedings of the 11th EAI International Conference on Mobile Multimedia Communications

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As one of the most fundamental and pervasive Internet services, media file downloading has undergone several generations of enabling technologies. Unfortunately, the performance today is still far from satisfactory. As the state-ofthe-art approach to accelerating media file downloads, multi-source downloading enables user clients to utilize multiple data sources and various content delivery techniques. However, without careful designs, multi-source downloading can result in worse performance with higher overhead, referred to as an anomaly. This paper conducts the first empirical study to quantitatively understand the performance anomalies of multi-source media downloading, based on the production logs of a large-scale system serving 179M media file downloads for 37M users (including both PC and mobile users) per day. We reveal the characteristics and root causes of manifold anomalies with regard to seven types of data sources. In particular, 23% of the downloads accelerated by using multiple data sources become slower than the original single-source downloading, and there are sweet spots between the number of data sources used and the download speed. Also, we exploit some unconventional metrics (e.g., diversity of participation time) to explain some counter-intuitive anomalies. Accordingly, we provide a series of practical and applicable implications to effectively address the anomalies.MOBIMEDIA 2018, June 21-22,

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Section: Introductionmentioning

confidence: 99%