This book constitutes the proceedings of the 9th International Workshop on Distributed Algorithms, WDAG '95, held in Le Mont-Saint-Michel, France in September 1995.
Besides four invited contributions, 18 full revised research papers are presented, selected from a total of 48 submissions during a careful refereeing process. The papers document the progress achieved in the area since the predecessor workshop (LNCS 857); they are organized in sections on asynchronous systems, networks, shared memory, Byzantine failures, self-stabilization, and detection of properties.
Reihe
Auflage
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Research
Illustrationen
Maße
Höhe: 235 mm
Breite: 155 mm
Dicke: 20 mm
Gewicht
ISBN-13
978-3-540-60274-3 (9783540602743)
DOI
Schweitzer Klassifikation
The triumph and tribulation of system stabilization.- Wait-free computing.- On real-time and non real-time distributed computing.- Theory and practice in distributed systems.- The inherent cost of strong-partial view-synchronous communication.- Revisiting the relationship between non-blocking atomic commitment and consensus.- Dissecting distributed coordination.- Optimal Broadcast with Partial Knowledge.- Multi-dimensional Interval Routing Schemes.- Data transmission in processor networks.- Distributed protocols against mobile eavesdroppers.- Universal constructions for large objects.- Load balancing: An exercise in constrained convergence.- Larchant-RDOSS: A distributed shared persistent memory and its garbage collector.- Broadcasting in hypercubes with randomly distributed Byzantine faults.- On the number of authenticated rounds in Byzantine Agreement.- Total ordering algorithms for asynchronous Byzantine systems.- A uniform self-stabilizing minimum diameter spanning tree algorithm.- Self-stabilization of wait-free shared memory objects.- Deterministic, constant space, self-stabilizing leader election on uniform rings.- Efficient detection of restricted classes of global predicates.- Faster possibility detection by combining two approaches.
