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TopT: Supporting Flash Crowd Events in Hybrid Overlay-based Live Streaming

Rückert, Julius and Richerzhagen, Björn and Lidanski, Eduardo and Steinmetz, Ralf and Hausheer, David (2015):
TopT: Supporting Flash Crowd Events in Hybrid Overlay-based Live Streaming.
In: IFIP International Conference on Networking (NETWORKING), Toulouse, Frankreich, [Online-Edition: http://dl.ifip.org/db/conf/networking/networking2015/1570067...],
[Conference or Workshop Item]

Abstract

Recent studies show that an increasing number of over-the-top live streams is delivered over the Internet. For the delivery of those streams, the dynamically changing and potentially large number of users imposes a major challenge. Flash crowds, where the number of users multiplies or significantly drops in a very small time frame, can cause serious degradations in the streaming performance. Due to the missing support for global network-layer multicast, overlay-based approaches have been broadly studied, showing that, with relaxed time constraints, they can scale well with the number of users. Yet, to support flash crowds, scaling has to happen quickly to keep up also with rapidly changing populations. Only a few approaches exist that focus on this aspect by influencing the streaming topology and, so far, it is not clear if and how these mechanisms can be applied to state-of-the-art hybrid streaming systems. Therefore, in this paper, T OP T is proposed, integrating new as well as existing mechanisms in a common framework. The evaluation shows that the streaming topology, indeed, plays a major role during flash crowds. The lightweight and decentralized tree-forming and topology optimization mechanisms of T OP T, combined with tracker extensions to attach new peers in batches, greatly help improving the streaming performance in terms of reduced playback interruptions by more than 60% and slight reduction in communication overhead at an acceptable increase in average startup delays by 24%.

TopT: Supporting Flash Crowd Events in Hybrid Overlay-based Live Streaming - ResearchGate. Available from: http://www.researchgate.net/publication/275340665_TopT_Supporting_Flash_Crowd_Events_in_Hybrid_Overlay-based_Live_Streaming [accessed Jul 23, 2015].

Item Type: Conference or Workshop Item
Erschienen: 2015
Creators: Rückert, Julius and Richerzhagen, Björn and Lidanski, Eduardo and Steinmetz, Ralf and Hausheer, David
Title: TopT: Supporting Flash Crowd Events in Hybrid Overlay-based Live Streaming
Language: English
Abstract:

Recent studies show that an increasing number of over-the-top live streams is delivered over the Internet. For the delivery of those streams, the dynamically changing and potentially large number of users imposes a major challenge. Flash crowds, where the number of users multiplies or significantly drops in a very small time frame, can cause serious degradations in the streaming performance. Due to the missing support for global network-layer multicast, overlay-based approaches have been broadly studied, showing that, with relaxed time constraints, they can scale well with the number of users. Yet, to support flash crowds, scaling has to happen quickly to keep up also with rapidly changing populations. Only a few approaches exist that focus on this aspect by influencing the streaming topology and, so far, it is not clear if and how these mechanisms can be applied to state-of-the-art hybrid streaming systems. Therefore, in this paper, T OP T is proposed, integrating new as well as existing mechanisms in a common framework. The evaluation shows that the streaming topology, indeed, plays a major role during flash crowds. The lightweight and decentralized tree-forming and topology optimization mechanisms of T OP T, combined with tracker extensions to attach new peers in batches, greatly help improving the streaming performance in terms of reduced playback interruptions by more than 60% and slight reduction in communication overhead at an acceptable increase in average startup delays by 24%.

TopT: Supporting Flash Crowd Events in Hybrid Overlay-based Live Streaming - ResearchGate. Available from: http://www.researchgate.net/publication/275340665_TopT_Supporting_Flash_Crowd_Events_in_Hybrid_Overlay-based_Live_Streaming [accessed Jul 23, 2015].

Title of Book: IFIP International Conference on Networking (NETWORKING)
Place of Publication: Toulouse, Frankreich
Divisions: 18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institute of Computer Engineering > Multimedia Communications
Zentrale Einrichtungen
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > C: Communication Mechanisms
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > C: Communication Mechanisms > Subproject C2: Information-centred perspective
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > C: Communication Mechanisms > Subproject C3: Content-centred perspective
18 Department of Electrical Engineering and Information Technology > Institute of Computer Engineering
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres
DFG-Collaborative Research Centres (incl. Transregio)
Date Deposited: 24 Jul 2015 13:40
Official URL: http://dl.ifip.org/db/conf/networking/networking2015/1570067...
Identification Number: MAKI-2015-010
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