AQoSM: scalable QoS multicast provisioning in Diff-Serv networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Efficient and scalable provisioning of always-on multicast streaming services
Computer Networks: The International Journal of Computer and Telecommunications Networking
AQoSM: Scalable QoS multicast provisioning in Diff-Serv networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
A multiple tree approach for fault tolerance in MPLS networks
ICDCIT'07 Proceedings of the 4th international conference on Distributed computing and internet technology
A novel graph model for dynamic multicast flow aggregation in optical networks
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
A fault-tolerant scheme for multicast communication protocols
ICAI'05/MCBC'05/AMTA'05/MCBE'05 Proceedings of the 6th WSEAS international conference on Automation & information, and 6th WSEAS international conference on mathematics and computers in biology and chemistry, and 6th WSEAS international conference on acoustics and music: theory and applications, and 6th WSEAS international conference on Mathematics and computers in business and economics
Hi-index | 0.00 |
Providing fault tolerance to multicast connections is an important and challenging requirement of future networks. The existing techniques for fault-tolerant multicast can be grouped into on-demand and preplanned approaches. On-demand approaches can have long recovery latency. For faster recovery, preplanned approaches have been developed. However, in this type of approach the overhead cost is generally very high, especially when there is a large number of simultaneous groups in the network. In this paper first we provide an overview of the current multicast fault tolerance method . In add, on, we propose a novel architecture called Aggregated MPLS-Based Fault-Tolerant Multicast (AMFM) for scalable, efficient, and fast fault-tolerant multicast provisioning. AMFM falls in the category of preplanned approaches. Using the concept of aggregated multicast, AMFM facilitates fault tolerance in a very elegant way: it reduces the protection cost significantly; it is scalable to large numbers of groups; and it can also recover from failure in a very fast manner. This article describes the architecture of AMFM and provides a feasibility check from an implementation point of view. We also conduct experiments to evaluate the performance of AMFM and show it can provide fault tolerance in a scalable fashion.