Modeling, analysis, and implementation of universal acceleration platform across online video sharing sites

Ke Xu; Tong Li; Haiyang Wang; Haitao Li; Wei Zhu; Jiangchuan Liu; Song Lin

doi:10.1109/TSC.2016.2565470

Modeling, analysis, and implementation of universal acceleration platform across online video sharing sites

Ke Xu, Tong Li, Haiyang Wang, Haitao Li, Wei Zhu, Jiangchuan Liu, Song Lin

Computer Science (Duluth)

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

Abstract

User-generated video sharing service has attracted a vast number of users over the Internet. The most successful sites, such as YouTube and Youku, now enjoy millions of videos being watched every day. Yet, given limited network and server resources, the user experience of existing video sharing sites (VSSes) is still far from being satisfactory. To mitigate such a problem, peer-to-peer (P2P) based video accelerators have been widely suggested to enhance the video delivery on VSSes. In this paper, we find that the interference of multiple accelerators will lead to a severe bottleneck across the VSSes. Our model analysis shows that a universal video accelerator can naturally achieve better performance with lower deployment cost. Based on this observation, we further present the detailed design of Peer-to-Peer Video Accelerator (PPVA), a real-world system for universal and transparent P2P accelerating. Such a system has already attracted over 180 million users, with 48 million video transactions every day. We carefully examine the PPVA performance from extensive measurements. Our trace analysis indicates that it can significantly reduce server bandwidth cost and accelerate the video download speed by 80 percent.

Original language	English (US)
Pages (from-to)	534-548
Number of pages	15
Journal	IEEE Transactions on Services Computing
Volume	11
Issue number	3
DOIs	https://doi.org/10.1109/TSC.2016.2565470
State	Published - May 1 2018

Bibliographical note

Funding Information:
This work was supported by National Natural Foundation of China (61472212), National Science and Technology Major Project of China (2015ZX03003004), National High Technology Research and Development Program of China (863 Program) (2013AA013302, 2015AA015601), and EU Marie Curie Actions CROWN (FP7-PEOPLE-2013-IRSES-610524). J. Liu’s research is supported by a Canada NSERC Discovery Grant, an NSERC Strategic Project Grant, and an NSERC E.W.R. Steacie Memorial Fellowship.

Publisher Copyright:
© 2016 IEEE.

Keywords

P2P
Video sharing
acceleration
replication

Publisher link

10.1109/TSC.2016.2565470

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title = "Modeling, analysis, and implementation of universal acceleration platform across online video sharing sites",

abstract = "User-generated video sharing service has attracted a vast number of users over the Internet. The most successful sites, such as YouTube and Youku, now enjoy millions of videos being watched every day. Yet, given limited network and server resources, the user experience of existing video sharing sites (VSSes) is still far from being satisfactory. To mitigate such a problem, peer-to-peer (P2P) based video accelerators have been widely suggested to enhance the video delivery on VSSes. In this paper, we find that the interference of multiple accelerators will lead to a severe bottleneck across the VSSes. Our model analysis shows that a universal video accelerator can naturally achieve better performance with lower deployment cost. Based on this observation, we further present the detailed design of Peer-to-Peer Video Accelerator (PPVA), a real-world system for universal and transparent P2P accelerating. Such a system has already attracted over 180 million users, with 48 million video transactions every day. We carefully examine the PPVA performance from extensive measurements. Our trace analysis indicates that it can significantly reduce server bandwidth cost and accelerate the video download speed by 80 percent.",

keywords = "P2P, Video sharing, acceleration, replication",

author = "Ke Xu and Tong Li and Haiyang Wang and Haitao Li and Wei Zhu and Jiangchuan Liu and Song Lin",

note = "Funding Information: This work was supported by National Natural Foundation of China (61472212), National Science and Technology Major Project of China (2015ZX03003004), National High Technology Research and Development Program of China (863 Program) (2013AA013302, 2015AA015601), and EU Marie Curie Actions CROWN (FP7-PEOPLE-2013-IRSES-610524). J. Liu{\textquoteright}s research is supported by a Canada NSERC Discovery Grant, an NSERC Strategic Project Grant, and an NSERC E.W.R. Steacie Memorial Fellowship. Publisher Copyright: {\textcopyright} 2016 IEEE.",

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AU - Lin, Song

N1 - Funding Information: This work was supported by National Natural Foundation of China (61472212), National Science and Technology Major Project of China (2015ZX03003004), National High Technology Research and Development Program of China (863 Program) (2013AA013302, 2015AA015601), and EU Marie Curie Actions CROWN (FP7-PEOPLE-2013-IRSES-610524). J. Liu’s research is supported by a Canada NSERC Discovery Grant, an NSERC Strategic Project Grant, and an NSERC E.W.R. Steacie Memorial Fellowship. Publisher Copyright: © 2016 IEEE.

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N2 - User-generated video sharing service has attracted a vast number of users over the Internet. The most successful sites, such as YouTube and Youku, now enjoy millions of videos being watched every day. Yet, given limited network and server resources, the user experience of existing video sharing sites (VSSes) is still far from being satisfactory. To mitigate such a problem, peer-to-peer (P2P) based video accelerators have been widely suggested to enhance the video delivery on VSSes. In this paper, we find that the interference of multiple accelerators will lead to a severe bottleneck across the VSSes. Our model analysis shows that a universal video accelerator can naturally achieve better performance with lower deployment cost. Based on this observation, we further present the detailed design of Peer-to-Peer Video Accelerator (PPVA), a real-world system for universal and transparent P2P accelerating. Such a system has already attracted over 180 million users, with 48 million video transactions every day. We carefully examine the PPVA performance from extensive measurements. Our trace analysis indicates that it can significantly reduce server bandwidth cost and accelerate the video download speed by 80 percent.

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Modeling, analysis, and implementation of universal acceleration platform across online video sharing sites

Abstract

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