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Concurrency in Snap-Stabilizing Local Resource Allocation

  • Karine Altisen
  • Stéphane Devismes
  • Anaïs DurandEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9466)

Abstract

In distributed systems, resource allocation consists in managing fair access of a large number of processes to a typically small number of reusable resources. As soon as the number of available resources is greater than one, the efficiency in concurrent accesses becomes an important issue, as a crucial goal is to maximize the utilization rate of resources. In this paper, we tackle the concurrency issue in resource allocation problems. We first characterize the maximal level of concurrency we can obtain in such problems by proposing the notion of maximal-concurrency. Then, we focus on Local Resource Allocation problems (LRA). Our results are both negative and positive. On the negative side, we show that it is impossible to obtain maximal-concurrency in LRA without compromising the fairness. On the positive side, we propose a snap-stabilizing LRA algorithm which achieves a high (but not maximal) level of concurrency, called here strong partial maximal-concurrency.

Keywords

Critical Section Mutual Exclusion Resource Allocation Problem Transient Fault Resource Allocation Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Karine Altisen
    • 1
  • Stéphane Devismes
    • 1
  • Anaïs Durand
    • 1
    Email author
  1. 1.VERIMAG UMR 5104Université Grenoble AlpesGrenobleFrance

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