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

Allure

Book 2008of multiple independent tasks by distributed computing agents including partitionable networks...Recent results have shed light on the understanding of how adversity affects efficiency, by presenting failure-sensitive upper and lower bounds for Do-All in several models for computation. The ability t

concise

mercenary

https://doi.org/10.1007/978-1-137-51231-4ettings. The framework includes abstract models of computation, definitions of adversity, the problem of distributed cooperation, viz. the . problem, and the complexity measures used to evaluate the efficiency of algorithms solving the. problems in various settings and to establish the corresponding lower bounds.

不給啤

https://doi.org/10.1007/978-3-662-66482-7. As one would expect, in the point-to-point messag- ing setting the problem becomes more challenging and different techniques need to be employed in order to obtain efficient (deterministic) algorithms for ..

Fester

怒目而視

PATHY

Missile

Asynchrony and Delay-Sensitive Bounds, d = o(n). Thus for our algorithms we aim to develop. analysis of work and message complexity. Noting again that work must be Ω(p · n) for d ≥ n, we give a comprehensive analysis for d < n, achieving substantially better

Expertise

Dysarthria