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<item>
  <id>05375029</id>
  <dt>j</dt>
  <an>05375029</an>
  <augroup>
    <au>Grebla, Horea Adrian</au>
  </augroup>
  <ti>Game theory in data allocation for distributed databases.</ti>
  <so>Acta Univ. Apulensis, Math. Inform. 11, 325-331 (2006).</so>
  <py>2006</py>
  <pu>"1 Decembrie 1918" University of Alba Iulia, Department of Mathematics and Informatics, Alba Iulia</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
    <ut>distributed databases</ut>
    <ut>balancing games</ut>
    <ut>Nash equilibrium</ut>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
  </ligroup>
  <abgroup>
    <ab>Summary: This paper studies distributed database performance optimization by mapping data fragmentation and allocation to load balancing games. The system is modelled as a set of network locations (agents) who share several resources (data fragments). The aim of the agents is to follow a strategy that maximizes their gain but optimizes the system's performance, too. The system is optimal and becomes balanced if it is constructed as a Nash equilibrium, so the problem is to find sequences of utility-improving moves that lead to a Nash equilibrium, starting from some given assignment of resources to agents. The contribution of this paper represents a parallel comparison of $2$ types of methods in resource allocation games that we consider to be suitable to our problem: non-cooperative versus cooperative strategies.</ab>
    <rv></rv>
  </abgroup>
</item>