Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Optimization in a Self-Stabilizing Service Discovery Framework for Large
  Scale Systems   Ability to find and get services is a key requirement in the development of
large-scale distributed sys- tems. We consider dynamic and unstable
environments, namely Peer-to-Peer (P2P) systems. In previous work, we designed
a service discovery solution called Distributed Lexicographic Placement Table
(DLPT), based on a hierar- chical overlay structure. A self-stabilizing version
was given using the Propagation of Information with Feedback (PIF) paradigm. In
this paper, we introduce the self-stabilizing COPIF (for Collaborative PIF)
scheme. An algo- rithm is provided with its correctness proof. We use this
approach to improve a distributed P2P framework designed for the services
discovery. Significantly efficient experimental results are presented.

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The categories of this paper are: gr-qc
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The categories of this paper are: dg-ga
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The categories of this paper are: alg-geom
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The categories of this paper are: acc-phys
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The categories of this paper are: chao-dyn
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The categories of this paper are: bayes-an
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The categories of this paper are: stat
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The categories of this paper are: q-alg
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The categories of this paper are: nlin
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The categories of this paper are: cmp-lg
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The categories of this paper are: hep-lat
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The categories of this paper are: adap-org
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The categories of this paper are: hep-ex
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The categories of this paper are: q-fin
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The categories of this paper are: nucl-ex
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The categories of this paper are: math