Distributed Computing: 17th International Conference, Disc 2003, Sorrento, Italy, October 1-3, 2003, Proceedings

ISBN-13: 9783540201847 / Angielski / Miękka / 2003 / 371 str.

Faith Ellen Fich

Opis

This book constitutes the refereed proceedings of the 17th International Conference on Distributed Computing, DISC 2003, held in Sorrento, Italy in October 2003.The 25 revised full papers presented were carefully reviewed and selected from 91 submissions. A broad variety of current issues in distributed computing is addressed, from foundational and theoretical issues to applications in various fields.

Spis treści

Resilient Consensus for Infinitely Many Processes.- Uniform Solvability with a Finite Number of MWMR Registers.- Timing-Based Mutual Exclusion with Local Spinning.- On the Uncontended Complexity of Consensus.- Probabilistic Quorums for Dynamic Systems.- Efficient Replication of Large Data Objects.- On the Locality of Consistency Conditions.- Multi-writer Consistency Conditions for Shared Memory Objects.- Booting Clock Synchronization in Partially Synchronous Systems.- Automatic Discovery of Mutual Exclusion Algorithms.- On the Implementation Complexity of Specifications of Concurrent Programs.- Competitive Management of Non-preemptive Queues with Multiple Values.- Constructing Disjoint Paths for Secure Communication.- Compact Routing for Flat Networks.- Lower Bounds for Oblivious Single-Packet End-to-End Communication.- Efficient Gossip and Robust Distributed Computation.- Condition-Based Consensus in Synchronous Systems.- Using Conditions to Expedite Consensus in Synchronous Distributed Systems.- Tight Bounds on Early Local Decisions in Uniform Consensus.- Tight Bounds for k-Set Agreement with Limited-Scope Failure Detectors.- On Failure Detectors and Type Boosters.- GeoQuorums: Implementing Atomic Memory in Mobile Ad Hoc Networks.- Asymptotically Efficient Approaches to Fault-Tolerance in Peer-to-Peer Networks.- Maximizing Remote Work in Flooding-Based Peer-to-Peer Systems.- Overcoming the Majority Barrier in Large-Scale Systems.