Results 1 
3 of
3
Spreading Rumors Rapidly Despite an Adversary
 J. ALGORITHMS
, 1998
"... In the collect problem [32], n processors in a sharedmemory system must each learn the values of n registers. We give a randomized algorithm that solves the collect problem in O(n log 3 n) total read and write operations with high probability, even if timing is under the control of a content ..."
Abstract

Cited by 15 (4 self)
 Add to MetaCart
In the collect problem [32], n processors in a sharedmemory system must each learn the values of n registers. We give a randomized algorithm that solves the collect problem in O(n log 3 n) total read and write operations with high probability, even if timing is under the control of a contentoblivious adversary (a slight weakening of the usual adaptive adversary). This improves on both the trivial upper bound of O(n 2 ) steps and the best previously known bound of O(n 3=2 log n) steps, and is close to the lower bound of \Omega\Gamma n log n) steps. Furthermore, we show how this algorithm can be used to obtain a multiuse cooperative collect protocol that is O(log 3 n)competitive in the latency model of Ajtai et al.[3] and O(n 1=2 log 3=2 n)competitive in the throughput model of Aspnes and Waarts [10]; in both cases the competitive ratios are within a polylogarithmic factor of optimal.
Modular Competitiveness for Distributed Algorithms
 In Proc. 28th ACM Symp. on Theory of Computing (STOC
, 2000
"... We define a novel measure of competitive performance for distributed algorithms based on throughput, the number of tasks that an algorithm can carry out in a fixed amount of work. This new measure complements the latency measure of Ajtai et al. [3], which measures how quickly an algorithm can finish ..."
Abstract

Cited by 13 (2 self)
 Add to MetaCart
We define a novel measure of competitive performance for distributed algorithms based on throughput, the number of tasks that an algorithm can carry out in a fixed amount of work. This new measure complements the latency measure of Ajtai et al. [3], which measures how quickly an algorithm can finish tasks that start at specified times. An important property of the throughput measure is that it is modular: we define a notion of relative competitiveness with the property that a krelatively competitive implementation of an object T using a subroutine U , combined with an lcompetitive implementation of U , gives a klcompetitive algorithm for ...
Long Lived and Adaptive Shared Memory Implementations
, 2001
"... this paper. Motivated by their first work Moir and Anderson developed renaming algorithms, in the read/write model, when such a bound on the maximum number of processes is known in advance. This led to a sequence of works on the renaming problem in this model [MA95, MG96, BGHM95] that lead to a long ..."
Abstract

Cited by 1 (0 self)
 Add to MetaCart
this paper. Motivated by their first work Moir and Anderson developed renaming algorithms, in the read/write model, when such a bound on the maximum number of processes is known in advance. This led to a sequence of works on the renaming problem in this model [MA95, MG96, BGHM95] that lead to a longlived (2K \Gamma 1)renaming algorithm with O(K ) step complexity and O(K space complexity [Moi98]. These works employed various variants of the splitter building block which is a descendant of Lamport's adaptive mutual exclusion algorithm, however the last one [Moi98] depends on an additional work which is the first longlived renaming algorithm by Burns and Peterson [BP89]