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\documentclass{acmabs}

\begin{document}

\Journal{Journal of the ACM}

\refkey{TsitsiklisS95}

\title{On the Average Communication Complexity of Asynchronous Distributed
  Algorithms}

\author{John~N. Tsitsiklis \and George~D. Stamoulis}

\Pages{382--400}

\Month{March}

\Year{1995}

\Volume{42}

\Number{2}

\maketitle

\begin{abstract}

We study the communication complexity of asynchronous distributed algorithms.
  Such algorithms can generate excessively many messages in the worst case.
  Nevertheless, we show that, under certain probabilistic assumptions, the
  expected number of messages generated per time unit is bounded by a
  polynomial function of the number of processors under a very general model of
  distributed computation. Furthermore, for constant-degree processor graphs,
  the expected number of generated messages is only $O(nT)$, where $n$ is the
  number of processors and $T$ is the running time. We conclude that (under our
  model) any asynchronous algorithm with good time complexity will also have
  good communication complexity, on the average.

\end{abstract}

\begin{categories}

C.2.1[network communication]; G.1.0[parallel algorithms]; G.m[Queueing theory]]

\end{categories}

\begin{terms}

Algorithms, performance

\end{terms}

\begin{keywords}

asynchronous distributed algorithms

\end{keywords}

\end{document}
