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ACM Transactions on Computer Systems (TOCS)
The causal ordering abstraction and a simple way to implement it
Information Processing Letters
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ACM Transactions on Computer Systems (TOCS)
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IEEE Transactions on Computers - Special issue on mobile computing
Causal Ordering in Distributed Mobile Systems
IEEE Transactions on Computers - Special issue on mobile computing
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Journal of Parallel and Distributed Computing
A framework for delivering multicast message in networks with mobile hosts
Mobile Networks and Applications - Special issue: routing in mobile communications networks
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A protocol for causally ordered message delivery in mobile computing systems
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Group-based multicast and dynamic membership in wireless networks with incomplete spatial coverage
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Multicast support for mobile hosts using mobile IP: design issues and proposed architecture
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Fault-tolerant broadcasts and related problems
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Communications of the ACM
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ACM SIGMOBILE Mobile Computing and Communications Review
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WDAG '94 Proceedings of the 8th International Workshop on Distributed Algorithms
Group Multicast in Distributed Mobile Systems with Unreliable Wireless Network
SRDS '99 Proceedings of the 18th IEEE Symposium on Reliable Distributed Systems
An evaluation of the Amoeba group communication system
ICDCS '96 Proceedings of the 16th International Conference on Distributed Computing Systems (ICDCS '96)
IEEE Communications Magazine
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IEEE Journal on Selected Areas in Communications
An overview of reliable multicast transport protocol II
IEEE Network: The Magazine of Global Internetworking
Fault-Tolerant Support for Reliable Multicast in Mobile Wireless Systems
NETWORKING '02 Proceedings of the Second International IFIP-TC6 Networking Conference on Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; and Mobile and Wireless Communications
Multicasting in mobile ad-hoc networks: achieving high packet delivery ratios
CASCON '03 Proceedings of the 2003 conference of the Centre for Advanced Studies on Collaborative research
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Journal of Parallel and Distributed Computing - Special issue: Design and performance of networks for super-, cluster-, and grid-computing: Part I
IEEE Transactions on Computers
GCS-MA: A group communication system for mobile agents
Journal of Network and Computer Applications
A causal multicast protocol for dynamic groups in cellular networks
Proceedings of the 2008 Euro American Conference on Telematics and Information Systems
Introducing mobile devices into Grid systems: a survey
International Journal of Web and Grid Services
Prediction-Based multicast mobility management in mobile internet
ISPA'05 Proceedings of the Third international conference on Parallel and Distributed Processing and Applications
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Reliable multicast is a powerful communication primitive for structuring distributed programs in which multiple processes must closely cooperate together. In this paper, we propose a protocol for supporting reliable multicast in a distributed system that includes mobile hosts and evaluate the performance of our proposal through simulation. We consider a scenario in which mobile hosts communicate with a wired infrastructure by means of wireless technology. Our proposal provides several novel features. The sender of each multicast may select among three increasingly strong delivery ordering guarantees: FIFO, Causal, Total. Movements do not trigger the transmission of any message in the wired network as no notion of hand-off is used. The set of senders and receivers (group) may be dynamic. The size of data structures at mobile hosts, the size of message headers, and the number of messages in the wired network for each multicast are all independent of the number of group members. The wireless network is assumed to provide only incomplete spatial coverage and message losses could occur even within cells. Movements are not negotiated and a mobile host that leaves a cell may enter any other cell, perhaps after a potentially long disconnection. The simulation results show that the proposed protocol has good performance and good scalability properties.