An efficient reliable broadcast protocol
ACM SIGOPS Operating Systems Review
Ordered and reliable multicast communication
ACM Transactions on Computer Systems (TOCS)
Lightweight causal and atomic group multicast
ACM Transactions on Computer Systems (TOCS)
Horus: a flexible group communication system
Communications of the ACM
The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Time, clocks, and the ordering of events in a distributed system
Communications of the ACM
P2P and the promise of internet equality
Communications of the ACM
Looking up data in P2P systems
Communications of the ACM
An end-user perspective on file-sharing systems
Communications of the ACM
Causally Ordering Group Communication Protocol
Proceedings of the 1994 International Conference on Parallel and Distributed Systems
An evaluation of the Amoeba group communication system
ICDCS '96 Proceedings of the 16th International Conference on Distributed Computing Systems (ICDCS '96)
An Adaptive Protocol for Implementing Causally Consistent Distributed Services
ICDCS '98 Proceedings of the The 18th International Conference on Distributed Computing Systems
Heterogeneous Groups to Causally Ordered Delivery
ICDCSW '04 Proceedings of the 24th International Conference on Distributed Computing Systems Workshops - W7: EC (ICDCSW'04) - Volume 7
Notification-Based QoS Control Protocol for Multimedia Group Communication in High-Speed Networks
ICDCS '04 Proceedings of the 24th International Conference on Distributed Computing Systems (ICDCS'04)
Causally Ordered Delivery for a Hierarchical Group
ICPADS '04 Proceedings of the Parallel and Distributed Systems, Tenth International Conference
ABLE: a toolkit for building multiagent autonomic systems
IBM Systems Journal
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We discuss a group protocol which supports applications with group communication service when QoS supported by networks or required by applications is changed. An autonomic group protocol is realised by cooperation of multiple autonomous agents. Each agent autonomously takes a class of each protocol function so as to support only and all QoS required. A group is composed of views for scalability. Each view is a subset of the agents where the agents autonomously take protocol classes consistent with each other. We make clear what combination of classes can be autonomously taken by agents in a view.