The Experts below are selected from a list of 31953 Experts worldwide ranked by ideXlab platform
Yuval Shavitt - One of the best experts on this subject based on the ideXlab platform.
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Approximation and heuristic algorithms for minimum delay Application-Layer multicast trees
Proceedings - IEEE INFOCOM, 2004Co-Authors: Eli Brosh, Yuval ShavittAbstract:Application-Layer Multicast algorithm, applied networking
Suman Banerjee - One of the best experts on this subject based on the ideXlab platform.
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scalable Application Layer multicast
ACM Special Interest Group on Data Communication, 2002Co-Authors: Suman Banerjee, Bobby Bhattacharjee, Christopher KommareddyAbstract:We describe a new scalable Application-Layer multicast protocol, specifically designed for low-bandwidth, data streaming Applications with large receiver sets. Our scheme is based upon a hierarchical clustering of the Application-Layer multicast peers and can support a number of different data delivery trees with desirable properties.We present extensive simulations of both our protocol and the Narada Application-Layer multicast protocol over Internet-like topologies. Our results show that for groups of size 32 or more, our protocol has lower link stress (by about 25%), improved or similar end-to-end latencies and similar failure recovery properties. More importantly, it is able to achieve these results by using orders of magnitude lower control traffic.Finally, we present results from our wide-area testbed in which we experimented with 32-100 member groups distributed over 8 different sites. In our experiments, average group members established and maintained low-latency paths and incurred a maximum packet loss rate of less than 1% as members randomly joined and left the multicast group. The average control overhead during our experiments was less than 1 Kbps for groups of size 100.
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SIGCOMM - Scalable Application Layer multicast
ACM SIGCOMM Computer Communication Review, 2002Co-Authors: Suman Banerjee, Bobby Bhattacharjee, Christopher KommareddyAbstract:We describe a new scalable Application-Layer multicast protocol, specifically designed for low-bandwidth, data streaming Applications with large receiver sets. Our scheme is based upon a hierarchical clustering of the Application-Layer multicast peers and can support a number of different data delivery trees with desirable properties.We present extensive simulations of both our protocol and the Narada Application-Layer multicast protocol over Internet-like topologies. Our results show that for groups of size 32 or more, our protocol has lower link stress (by about 25%), improved or similar end-to-end latencies and similar failure recovery properties. More importantly, it is able to achieve these results by using orders of magnitude lower control traffic.Finally, we present results from our wide-area testbed in which we experimented with 32-100 member groups distributed over 8 different sites. In our experiments, average group members established and maintained low-latency paths and incurred a maximum packet loss rate of less than 1% as members randomly joined and left the multicast group. The average control overhead during our experiments was less than 1 Kbps for groups of size 100.
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Analysis of the NICE Application Layer Multicast Protocol
2002Co-Authors: Suman Banerjee, Bobby BhattacharjeeAbstract:Application Layer multicast protocols organize a set of hosts into an overlay tree for data delivery. Each host on the overlay peers with a subset of other hosts. Since ap- plication Layer multicast relies only on an underlying unicast architecture, multiple copies of the same packet can be car- ried by a single physical link or node on the overlay. The stress at a link or node is definedas the number of identical copies of a packet carried by that link or node. Stretch is an- other important metric in Application Layer multicast, which measures the relative increase in delay incurred by the over- lay path between pairs of members with respect to the direct unicast path. In this paper we study the NICE Application Layer multicast protocol to quantify and study the tradeoff between these two important metrics — stress and stretch in scalably building Application Layer multicast paths.
Christopher Kommareddy - One of the best experts on this subject based on the ideXlab platform.
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scalable Application Layer multicast
ACM Special Interest Group on Data Communication, 2002Co-Authors: Suman Banerjee, Bobby Bhattacharjee, Christopher KommareddyAbstract:We describe a new scalable Application-Layer multicast protocol, specifically designed for low-bandwidth, data streaming Applications with large receiver sets. Our scheme is based upon a hierarchical clustering of the Application-Layer multicast peers and can support a number of different data delivery trees with desirable properties.We present extensive simulations of both our protocol and the Narada Application-Layer multicast protocol over Internet-like topologies. Our results show that for groups of size 32 or more, our protocol has lower link stress (by about 25%), improved or similar end-to-end latencies and similar failure recovery properties. More importantly, it is able to achieve these results by using orders of magnitude lower control traffic.Finally, we present results from our wide-area testbed in which we experimented with 32-100 member groups distributed over 8 different sites. In our experiments, average group members established and maintained low-latency paths and incurred a maximum packet loss rate of less than 1% as members randomly joined and left the multicast group. The average control overhead during our experiments was less than 1 Kbps for groups of size 100.
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SIGCOMM - Scalable Application Layer multicast
ACM SIGCOMM Computer Communication Review, 2002Co-Authors: Suman Banerjee, Bobby Bhattacharjee, Christopher KommareddyAbstract:We describe a new scalable Application-Layer multicast protocol, specifically designed for low-bandwidth, data streaming Applications with large receiver sets. Our scheme is based upon a hierarchical clustering of the Application-Layer multicast peers and can support a number of different data delivery trees with desirable properties.We present extensive simulations of both our protocol and the Narada Application-Layer multicast protocol over Internet-like topologies. Our results show that for groups of size 32 or more, our protocol has lower link stress (by about 25%), improved or similar end-to-end latencies and similar failure recovery properties. More importantly, it is able to achieve these results by using orders of magnitude lower control traffic.Finally, we present results from our wide-area testbed in which we experimented with 32-100 member groups distributed over 8 different sites. In our experiments, average group members established and maintained low-latency paths and incurred a maximum packet loss rate of less than 1% as members randomly joined and left the multicast group. The average control overhead during our experiments was less than 1 Kbps for groups of size 100.
Mohsen Guizani - One of the best experts on this subject based on the ideXlab platform.
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Joint physical-Application Layer security for wireless multimedia delivery
IEEE Communications Magazine, 2014Co-Authors: Liang Zhou, Baoyu Zheng, Dan Wu, Mohsen GuizaniAbstract:In recent years, there have been increasing demands for the security of wireless multimedia Applications. Essentially, wireless networks, compared to traditional wired networks, are more likely to suffer from malicious attacks. Most current security methods consider physical Layer and Application Layer security technologies independently and separately. Usually, physical Layer information is dynamic in wireless networks, and Application Layer information is related to wireless multimedia delivery. Importantly, both of them have significant impact on security performance. In this work, we propose a joint framework involving both the physical and Application Layer security technologies. Specifically, by exploiting the security capacity and signal processing technologies at the physical Layer and the authentication and watermarking strategies at the Application Layer, the available network resources can be utilized efficiently. In addition, scalable multimedia security services can be maximized within the given multimedia delivery deadlines. In particular, this joint scheme can be implemented easily with low communication overhead, which facilitates its deployment in large-scale wireless multimedia systems.
Nicolas D Georganas - One of the best experts on this subject based on the ideXlab platform.
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a survey of Application Layer multicast protocols
IEEE Communications Surveys and Tutorials, 2007Co-Authors: Mojtaba Hosseini, Dewan Tanvir Ahmed, Shervin Shirmohammadi, Nicolas D GeorganasAbstract:In light of the slow deployment of IP Multicast technology on the global Internet and the explosive popularity of peer-to-peer (P2P) file-sharing Applications, there has been a flurry of research activities investigating the feasibility of implementing multicasting capability at the Application Layer, referred to as Application Layer Multicasting (ALM), and numerous algorithms and protocols have been proposed. This article aims to provide researchers in the field with an understanding of ALM protocols by identifying significant characteristics, from both Application requirements and networking points of view, and by using those characteristics as a basis for organizing the protocols into an integrated and well-structured format. Current trends and directions for further research are also presented. This article surveys the literature over the period 1995?2005 on different Application Layer multicasting approaches.
