Resilient tree-based live streaming in reality
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
Peer-to-Peer (P2P) streaming has been a scalable and cost-efficient solution to deliver live video streams. To reduce the bandwidth demands at video servers, it uses resources (mostly upload bandwidths) of participating peers. However, depending on unreliable end-hosts to build an efficient and robust streaming system is a difficult task. Various approaches have been proposed. They are often classified by the type of overlay topologies and the way video packets are disseminated in the overlay. Single-tree-push systems have low latency, but are less resilient to network dynamics. Mesh-pull systems are more resilient to failure and churn, but suffer larger delays and overhead. Hybrid systems are based on a mesh-pull system. Peers in these systems may switch between pull and push modes to deliver video packets at certain conditions. However, their resistance against Denial-of-Service (DoS) attacks is unknown. Multi-tree-push systems split the video stream into stripes, and deliver them using disjoint trees. The latency is therefore low, which is suitable for a live streaming service. Moreover, it is also proven resilient against DoS attacks via formal analysis and simulations [1]. Nonetheless, it is not known how the system performs in real world conditions.
Details
Original language | English |
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Title of host publication | 13th IEEE International Conference on Peer-to-Peer Computing, IEEE P2P 2013 - Proceedings |
Publisher | IEEE Computer Society |
ISBN (print) | 978-1-4799-0521-8 |
Publication status | Published - 2013 |
Peer-reviewed | Yes |
Externally published | Yes |
Publication series
Series | International Conference on Peer-to-Peer Computing |
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ISSN | 2161-3559 |
Conference
Title | 13th IEEE International Conference on Peer-to-Peer Computing, IEEE P2P 2013 |
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Duration | 9 - 11 September 2013 |
City | Trento |
Country | Italy |
External IDs
ORCID | /0000-0001-7008-1537/work/160479874 |
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