Titlebook: Do-All Computing in Distributed Systems; Cooperation in the P Chryssis Georgiou,Alexander A. Shvartsman Book 2008 Springer-Verlag US 2008 A

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Distributed Cooperation Problems: Models and Definitions,ze the modeling framework used in the sequel to study problems of cooperative task execution in distributed environments under several ad- versarial settings. The framework includes abstract models of computation, definitions of adversity, the problem of distributed cooperation, viz. the . problem,

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Synchronous Do-All with Crashes: Using Perfect Knowledge and Reliable Multicast, more benign type of adversity. In order to understand better the inherent limitations and difficulties of solving the. and . problems in the presence of crashes, we first abstract away any communication issues by assuming an oracle that provides load-balancing and computational progress information

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dowagers-hump

Synchronous Do-All with Byzantine Failures,armful to the computation. We now move to study the . problem under an adversary, called ., that can cause Byzantine processor failures. A faulty processor may perform arbitrary actions, including those that interfere with the ongoing computation. The distributed environment is still assumed to be s

dowagers-hump

Asynchrony and Delay-Sensitive Bounds,gorithms tolerate any pattern of processor crashes with at least one surviving processor. More significantly, we are interested in algorithms whose work de- grades gracefully as a function of the worst case message delay d. Here the requirement is that work must be subquadratic in n and p as long as

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Analysis of Omni-Do in Asynchronous Partitionable Networks,ks and learning the results of the tasks, despite the dynamically changing group connectivity. However, no amount of algorithmic sophistication can compensate for the possibility of groups of processors or even individual pro- cessors becoming disconnected during the computation. In general, an ad-

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