Reliable communication in the presence of failures
ACM Transactions on Computer Systems (TOCS)
Epidemic algorithms for replicated database maintenance
PODC '87 Proceedings of the sixth annual ACM Symposium on Principles of distributed computing
A comparison of reliable multicast protocols
Multimedia Systems
ACM Transactions on Computer Systems (TOCS)
Peer-to-Peer Membership Management for Gossip-Based Protocols
IEEE Transactions on Computers
Lightweight Probabilistic Broadcast
DSN '01 Proceedings of the 2001 International Conference on Dependable Systems and Networks (formerly: FTCS)
Probabilistic Reliable Dissemination in Large-Scale Systems
IEEE Transactions on Parallel and Distributed Systems
Lightweight probabilistic broadcast
ACM Transactions on Computer Systems (TOCS)
Introducing reliability in content-based publish-subscribe through epidemic algorithms
Proceedings of the 2nd international workshop on Distributed event-based systems
DSN '04 Proceedings of the 2004 International Conference on Dependable Systems and Networks
An Adaptive Algorithm for Efficient Message Diffusion in Unreliable Environments
DSN '04 Proceedings of the 2004 International Conference on Dependable Systems and Networks
Gossip Based Streaming with Incentives for Peer Collaboration
ISM '06 Proceedings of the Eighth IEEE International Symposium on Multimedia
OSDI '06 Proceedings of the 7th USENIX Symposium on Operating Systems Design and Implementation - Volume 7
How robust are gossip-based communication protocols?
ACM SIGOPS Operating Systems Review - Gossip-based computer networking
A generic theoretical framework for modeling gossip-based algorithms
ACM SIGOPS Operating Systems Review - Gossip-based computer networking
Proceedings of the 10th ACM/IFIP/USENIX International Conference on Middleware
A gossip-style failure detection service
Middleware '98 Proceedings of the IFIP International Conference on Distributed Systems Platforms and Open Distributed Processing
RMTP: a reliable multicast transport protocol
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 3
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Pervasive computing systems are inherently running on unstable networks and devices, subject to constant topology changes, network failures, and high churn. For this reason, pervasive computing infrastructures need to handle these issues as part of their design. This is, however, not feasible, since this increases the complexity of the software architectures making them more difficult to design, implement, deploy, and maintain. In this paper, we suggest to move the handling of these volatile properties of pervasive environments to the protocol level. Specifically, we suggest utilizing epidemic protocols as distribution mechanism for pervasive systems. The nature of epidemic protocols make them easy to implement, easy to deploy, and resilient to failures. By using epidemic protocols, it is possible to mitigate a wide range of the potential issues on the protocol layer. The result is lower complexity of building pervasive systems.