Multicast routing for multimedia communication
IEEE/ACM Transactions on Networking (TON)
IEEE/ACM Transactions on Networking (TON)
A case for end system multicast (keynote address)
Proceedings of the 2000 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Enabling conferencing applications on the internet using an overlay muilticast architecture
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
A source-based algorithm for delay-constrained minimum-cost multicasting
INFOCOM '95 Proceedings of the Fourteenth Annual Joint Conference of the IEEE Computer and Communication Societies (Vol. 1)-Volume - Volume 1
Scattercast: an architecture for internet broadcast distribution as an infrastructure service
Scattercast: an architecture for internet broadcast distribution as an infrastructure service
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 2
Scribe: a large-scale and decentralized application-level multicast infrastructure
IEEE Journal on Selected Areas in Communications
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Application Layer Multicast (ALM) shifts multicast functionality from routers to end hosts and has the potential to address most problems associated with IP multicast. It has attracted wide attention in research community in recent years. However, as an end host based solution, the applicability of ALM to realtime applications such as streaming services is constrained by node bandwidth and transmission latency. How to guarantee QoS is still a challengeable problem. In this paper, we think overall latency is a more effective metric for evaluating the QoS perceived by most users and explore the optimization problem of Degree-Constrained Minimum Overall Latency Spanning Tree (DCMOLST). We divide the optimization process into initialization phase and dynamic adjustment phase. In the former stage, we propose a heuristic algorithm through giving a more consideration to both transmission delay and node bandwidth, so as to avoid QoS degradation caused by single metrics. In the later, we present a set of distributed iterative optimizing operations for further optimization. Experimental results show that our proposal can improve overall performance efficiently and is able to cope with network dynamics.