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Gu Z. Rendezvous in Distributed Systems. Theory,Algorithms and Applications 2017

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Gu Z. Rendezvous in Distributed Systems. Theory,Algorithms and Applications 2017

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Total size: 6.51 MB
Added: 2025-03-10 23:38:58

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Info Hash: 0360E370110B4491F94EAB89100F1C34C2BC8D89
Last updated: 3.1 hours ago

Description:

Textbook in PDF format This book introduces novel solutions to the rendezvous problem in distributed systems, a fundamental problem that underpins the construction of many important functions in distributed systems and networks. The book covers rendezvous theories, distributed rendezvous algorithms, and rendezvous applications in practical systems, presents state-of-the-art rendezvous results and highlights the latest methods of rendezvous in distributed systems. It provides in particular an in-depth treatment of the blind rendezvous and oblivious blind rendezvous problems and their solutions. Further, it sheds new light on rendezvous applications in cognitive radio networks and rendezvous search in graphs. As such, it will also be of interest to readers from other research fields such as robotics, wireless sensor networks, and game theory. Part I Distributed Rendezvous Theory Distributed Systems Distributed Computing Rendezvous Theory Rendezvous Categories Part II Blind Rendezvous in Distributed Systems Blind Rendezvous Problem Asymmetric Blind Rendezvous Algorithms Synchronous Blind Rendezvous Algorithms Asynchronous Blind Rendezvous Algorithms for Anonymous Users Local Sequence (LS) Based Rendezvous Algorithms Blind Rendezvous for Multi-users Multihop System Part III Oblivious Blind Rendezvous in Distributed Systems Oblivious Blind Rendezvous Asymmetric Oblivious Blind Rendezvous Algorithms Oblivious Blind Rendezvous for Non-anonymous Users Fully Distributed Rendezvous Algorithm for Non-anonymous Users Oblivious Blind Rendezvous for Anonymous Users Oblivious Blind Rendezvous for Multi-user Multihop CRN Part IV Distributed Rendezvous Applications Rendezvous in Heterogeneous Cognitive Radio Networks Rendezvous Search in a Graph Neighbor Discovery in Wireless Sensor Networks Conclusions and Future Works