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
Journal of the ACM (JACM)
Scalable application layer multicast
Proceedings of the 2002 conference on Applications, technologies, architectures, and protocols for computer communications
Optimal Resource Allocation in Overlay Multicast
IEEE Transactions on Parallel and Distributed Systems
Overlay Networks with Linear Capacity Constraints
IEEE Transactions on Parallel and Distributed Systems
An optimal discrete rate allocation for overlay video multicasting
Computer Communications
Dynamic Multicast in Overlay Networks with Linear Capacity Constraints
IEEE Transactions on Parallel and Distributed Systems
OMNI: An efficient overlay multicast infrastructure for real-time applications
Computer Networks: The International Journal of Computer and Telecommunications Networking - Overlay distribution structures and their applications
A case for end system multicast
IEEE Journal on Selected Areas in Communications
Scribe: a large-scale and decentralized application-level multicast infrastructure
IEEE Journal on Selected Areas in Communications
Market-based self-optimization for autonomic service overlay networks
IEEE Journal on Selected Areas in Communications
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The main challenge in overlay multicasting is designing self-organizing mechanisms that can be able to exploit the inherent selfishness of the end-user nodes in such a way that the aggregate outcome of the activity of individual nodes behaving toward their own self-interests still leads to maximization of the network's aggregate utility. We believe that the microeconomic theory is a good candidate to investigate this problem. Since each consumer in the economy acts as a selfish utility maximizer, the behavior of each end-host in the overlay network can be mapped to that of a consumer in the economy. We present a competitive economical framework in which a number of independent services are provided to the users by a number of origin servers. Each offered service can be thought of as a good and the origin servers and the users who relay the service to their downstream nodes can thus be thought of as firms of the economy. Also, the end-hosts can be viewed as consumers in the economy. On joining to the overlay network, each end-host is provided with an income and tries to obtain the services. The mechanism tries to regulate the price of each service in such a way that general equilibrium holds. For this property to hold in all generality, it tries to find a vector of prices such that demand of each service becomes equal to its supply. So, all allocations will be Pareto optimal in the sense that maximize welfare of the users.