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Xcast

About: Xcast is a research topic. Over the lifetime, 10843 publications have been published within this topic receiving 197028 citations.


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Proceedings Article
01 Jan 2000
TL;DR: The potential benefits of transferring multicast functionality from end systems to routers significantly outweigh the performance penalty incurred and the results indicate that the performance penalties are low both from the application and the network perspectives.

2,372 citations

Proceedings ArticleDOI
19 Aug 2002
TL;DR: A new scalable application-layer multicast protocol, specifically designed for low-bandwidth, data streaming applications with large receiver sets, which has lower link stress, improved or similar end-to-end latencies and similar failure recovery properties.
Abstract: 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.

1,553 citations

Journal ArticleDOI
TL;DR: In this paper, the authors specify extensions to two common internetwork routing algorithms (distancevector routing and link-state routing) to support low-delay datagram multicasting beyond a single LAN, and discuss how the use of multicast scope control and hierarchical multicast routing allows the multicast service to scale up to large internetworks.
Abstract: Multicasting, the transmission of a packet to a group of hosts, is an important service for improving the efficiency and robustness of distributed systems and applications. Although multicast capability is available and widely used in local area networks, when those LANs are interconnected by store-and-forward routers, the multicast service is usually not offered across the resulting internetwork. To address this limitation, we specify extensions to two common internetwork routing algorithms—distance-vector routing and link-state routing—to support low-delay datagram multicasting beyond a single LAN. We also describe modifications to the single-spanning-tree routing algorithm commonly used by link-layer bridges, to reduce the costs of multicasting in large extended LANs. Finally, we discuss how the use of multicast scope control and hierarchical multicast routing allows the multicast service to scale up to large internetworks.

1,365 citations

Proceedings ArticleDOI
28 Aug 1996
TL;DR: The RLM protocol is described, its performance is evaluated with a preliminary simulation study that characterizes user-perceived quality by assessing loss rates over multiple time scales, and the implementation of a software-based Internet video codec is discussed.
Abstract: State of the art, real-time, rate-adaptive, multimedia applications adjust their transmission rate to match the available network capacity. Unfortunately, this source-based rate-adaptation performs poorly in a heterogeneous multicast environment because there is no single target rate --- the conflicting bandwidth requirements of all receivers cannot be simultaneously satisfied with one transmission rate. If the burden of rate-adaption is moved from the source to the receivers, heterogeneity is accommodated. One approach to receiver-driven adaptation is to combine a layered source coding algorithm with a layered transmission system. By selectively forwarding subsets of layers at constrained network links, each user receives the best quality signal that the network can deliver. We and others have proposed that selective-forwarding be carried out using multiple IP-Multicast groups where each receiver specifies its level of subscription by joining a subset of the groups. In this paper, we extend the multiple group framework with a rate-adaptation protocol called Receiver-driven Layered Multicast, or RLM. Under RLM, multicast receivers adapt to both the static heterogeneity of link bandwidths as well as dynamic variations in network capacity (i.e., congestion). We describe the RLM protocol and evaluate its performance with a preliminary simulation study that characterizes user-perceived quality by assessing loss rates over multiple time scales. For the configurations we simulated, RLM results in good throughput with transient short-term loss rates on the order of a few percent and long-term loss rates on the order of one percent. Finally, we discuss our implementation of a software-based Internet video codec and its integration with RLM.

1,284 citations

Proceedings ArticleDOI
01 Aug 1999
TL;DR: Ad-hoc On-Demand Distance Vector Routing is extended to offer novel multicast capabilities which follow naturally from the way AODV establishes unicast routes.
Abstract: An ad-hoc network is the cooperative engagement of a collection of (typically wireless) mobile nodes without the required intervention of any centralized access point or existing infrastructure. To provide optimal communication ability, a routing protocol for such a dynamic self-starting network must be capable of unicast, broadcast, and multicast. In this paper we extend Ad-hoc On-Demand Distance Vector Routing (AODV), an algorithm for the operation of such ad-hoc networks, to offer novel multicast capabilities which follow naturally from the way AODV establishes unicast routes. AODV builds multicast trees as needed (i.e., on-demand) to connect multicast group members. Control of the multicast tree is distributed so that there is no single point of failure. AODV provides loop-free routes for both unicast and multicast, even while repairing broken links. We include an evaluation methodology and simulation results to validate the correct and efficient operation of the AODV algorithm.

1,245 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202322
202269
20211
20202
20197
201829