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  • 标题:A Population Protocol for Uniform $k$-partition under Global Fairness
  • 本地全文:下载
  • 作者:Hiroto Yasumi ; Naoki Kitamura ; Fukuhito Ooshita
  • 期刊名称:International Journal of Networking and Computing
  • 印刷版ISSN:2185-2847
  • 出版年度:2019
  • 卷号:9
  • 期号:1
  • 页码:97-110
  • 出版社:International Journal of Networking and Computing
  • 摘要:In this paper, we consider a uniform k-partition problem in a population protocol model. The uniform k-partition problem divides a population into k groups of the same size. For this problem, we give a symmetric protocol with designated initial states under global fairness. The proposed protocol requires 3k − 2 states for each agent. Since any protocol for the uniform kpartition problem requires Ω(k) states to indicate a group, the space complexity of the proposed protocol is asymptotically optimal.
  • 其他摘要:In this paper, we consider a uniform k-partition problem in a population protocol model. The uniform k-partition problem divides a population into k groups of the same size. For this problem, we give a symmetric protocol with designated initial states under global fairness. The proposed protocol requires 3k-2 states for each agent. Since any protocol for the uniform k-partition problem requires ?(k) states to indicate a group, the space complexity of the proposed protocol is asymptotically optimal.
  • 关键词:population protocol;uniform k-partition;distributed protocol
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