Long-lived adaptive collect with applications

Yehuda Afek, Gideon Stupp, Dan Touitou

Research output: Contribution to journalConference articlepeer-review

Abstract

A distributed algorithm is adaptive if the worst case step complexity of its operations is bounded by a function of the number of processes that are concurrently active during the operation (rather than a function of N, the total number of processes, which is usually much larger). In this paper we present long-lived and adaptive algorithms for collect in the read/write shared-memory model. Replacing the reads and writes in long-lived shared memory algorithms with our adaptive collect results in many cases in a corresponding long-lived algorithm which is adaptive. Examples of such applications, which are discussed in the paper are atomic-snapshots, and l-exclusion. Following the long-lived and adaptive collect we present a more pragmatic version of collect, called active set. This algorithm is slightly weaker than the collect but has several advantages. We employ this algorithm to transform algorithms, such as the Bakery algorithm, into their corresponding adaptive long-lived version, which is more efficient than the version that was obtained with the collect. Previously, long-lived and adaptive algorithms in this model were presented only for the renaming problem. A one-shot and adaptive collect algorithm was presented in [10].

Original languageEnglish
Pages (from-to)262-272
Number of pages11
JournalAnnual Symposium on Foundations of Computer Science - Proceedings
StatePublished - 1999
EventProceedings of the 1999 IEEE 40th Annual Conference on Foundations of Computer Science - New York, NY, USA
Duration: 17 Oct 199919 Oct 1999

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