Items related to On the Correctness of Gossip-Based Membership Protocols
Synopsis
Revision with unchanged content. The importance of scalability and fault-tolerance in modern distributed systems has led to considerable research in multi-cast gossip protocols. In a gossip protocol, each node forwards messages to a small set of "gossip partners" chosen at random from the entire group membership; traditional strong reliability guarantees are traded for probabilistic guaranties, potentially yielding greater scalability and fault tolerance. Nodes only stores a small random subset of the membership as maintaining complete membership views at each node is expensive. These protocols are subtle, and while they have been the subject of much simulation and analysis, formal proofs of key properties - in particular the probability of network partitioning - have remained elusive. In this thesis we give a new scalable gossip-based algorithm for local view maintenance, with a lower bound on the expected partition time. We develop probabilistic bounds on the indegree (hence the load) of individual nodes, argue that the undirected connectivity graph is an expander and that protocols lacking our reinforcement component eventually converge to star-like networks. Heavy churn and view randomness are also addressed.
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About the Author
André Allavena received his Diplôme d'Ingénieur in 2001from École Centrale Paris. After completing his Ph.D. inComputer Science at Cornell University, NY, under thedirection of Alan Demers and Turing Award recipientJohn Hopcroft, André pursued post-doctoral research atthe University of Waterloo, ON, Canada. He now works inthe software industry.
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On the Correctness of Gossip-Based Membership Protocols
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AV Akademikerverlag Jun 2012, 2012
ISBN 10: 3639432215
ISBN 13: 9783639432213
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Revision with unchanged content. The importance of scalability and fault-tolerance in modern distributed systems has led to considerable research in multi-cast gossip protocols. In a gossip protocol, each node forwards messages to a small set of 'gossip partners' chosen at random from the entire group membership; traditional strong reliability guarantees are traded for probabilistic guaranties, potentially yielding greater scalability and fault tolerance. Nodes only stores a small random subset of the membership as maintaining complete membership views at each node is expensive. These protocols are subtle, and while they have been the subject of much simulation and analysis, formal proofs of key properties - in particular the probability of network partitioning - have remained elusive. In this thesis we give a new scalable gossip-based algorithm for local view maintenance, with a lower bound on the expected partition time. We develop probabilistic bounds on the indegree (hence the load) of individual nodes, argue that the undirected connectivity graph is an expander and that protocols lacking our reinforcement component eventually converge to star-like networks. Heavy churn and view randomness are also addressed. 116 pp. Englisch. Seller Inventory # 9783639432213
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On the Correctness of Gossip-Based Membership Protocols
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On the Correctness of Gossip-Based Membership Protocols
Published by
AV Akademikerverlag Jun 2012, 2012
ISBN 10: 3639432215
ISBN 13: 9783639432213
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -Revision with unchanged content. The importance of scalability and fault-tolerance in modern distributed systems has led to considerable research in multi-cast gossip protocols. In a gossip protocol, each node forwards messages to a small set of 'gossip partners' chosen at random from the entire group membership; traditional strong reliability guarantees are traded for probabilistic guaranties, potentially yielding greater scalability and fault tolerance. Nodes only stores a small random subset of the membership as maintaining complete membership views at each node is expensive. These protocols are subtle, and while they have been the subject of much simulation and analysis, formal proofs of key properties - in particular the probability of network partitioning - have remained elusive. In this thesis we give a new scalable gossip-based algorithm for local view maintenance, with a lower bound on the expected partition time. We develop probabilistic bounds on the indegree (hence the load) of individual nodes, argue that the undirected connectivity graph is an expander and that protocols lacking our reinforcement component eventually converge to star-like networks. Heavy churn and view randomness are also addressed.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 116 pp. Englisch. Seller Inventory # 9783639432213
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On the Correctness of Gossip-Based Membership Protocols
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Revision with unchanged content. The importance of scalability and fault-tolerance in modern distributed systems has led to considerable research in multi-cast gossip protocols. In a gossip protocol, each node forwards messages to a small set of 'gossip partners' chosen at random from the entire group membership; traditional strong reliability guarantees are traded for probabilistic guaranties, potentially yielding greater scalability and fault tolerance. Nodes only stores a small random subset of the membership as maintaining complete membership views at each node is expensive. These protocols are subtle, and while they have been the subject of much simulation and analysis, formal proofs of key properties - in particular the probability of network partitioning - have remained elusive. In this thesis we give a new scalable gossip-based algorithm for local view maintenance, with a lower bound on the expected partition time. We develop probabilistic bounds on the indegree (hence the load) of individual nodes, argue that the undirected connectivity graph is an expander and that protocols lacking our reinforcement component eventually converge to star-like networks. Heavy churn and view randomness are also addressed. Seller Inventory # 9783639432213
Quantity: 1 available