Epidemic algorithms for replicated database maintenance
PODC '87 Proceedings of the sixth annual ACM Symposium on Principles of distributed computing
Providing high availability using lazy replication
ACM Transactions on Computer Systems (TOCS)
End-to-end Internet packet dynamics
SIGCOMM '97 Proceedings of the ACM SIGCOMM '97 conference on Applications, technologies, architectures, and protocols for computer communication
A reliable multicast framework for light-weight sessions and application level framing
IEEE/ACM Transactions on Networking (TON)
ACM Transactions on Computer Systems (TOCS)
Computer networks: a systems approach
Computer networks: a systems approach
Grapevine: an exercise in distributed computing
Communications of the ACM
Distributed Systems: Principles and Paradigms
Distributed Systems: Principles and Paradigms
Scalability, Throughput Stability and Efficient Buffering in Reliable Multicast Protocols
Scalability, Throughput Stability and Efficient Buffering in Reliable Multicast Protocols
GROUP MEMBERSHIP IN THE EPIDEMIC STYLE
GROUP MEMBERSHIP IN THE EPIDEMIC STYLE
Scalable message stability detection protocols
Scalable message stability detection protocols
Error recovery in scalable reliable multicast
Error recovery in scalable reliable multicast
Efficient data distribution in large-scale multicast networks
Efficient data distribution in large-scale multicast networks
Drinking from the firehose: multicast USENET news
WTEC'94 Proceedings of the USENIX Winter 1994 Technical Conference on USENIX Winter 1994 Technical Conference
A gossip-style failure detection service
Middleware '98 Proceedings of the IFIP International Conference on Distributed Systems Platforms and Open Distributed Processing
IEEE Communications Magazine
End-to-end epidemic multicast loss recovery: Analysis of scalability and robustness
Computer Communications
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An important class of large-scale distributed applications is insensitive to small inconsistencies among participants, as long as these events are temporary and not frequent. An efficient way for propagating information to participants in such cases is referred to as epidemic protocols. Epidemic protocols are simple, scale well and robust again common failures, and provide eventual consistency as well. They combine benefits of efficiency in hierarchical data dissemination with robustness in flooding protocols. These communication mechanisms have been mainly used for resolving inconsistencies in distributed database updates, failure detection, message loss recovery in multicast communication, network news distribution, group membership management, scalable system management, and resource discovery. In this paper, we focus on an end-to-end epidemic loss recovery mechanism for multicasting and give our simulation results discussing the performance of the approach in large-scale network settings.