最小生成树的全顺序分布式动态算法
Fully Sequential and Distributed Dynamic Algorithms for Minimum Spanning Trees
摘要:
在本文中,我们提出了一个全动态的分布式算法,以保持一个最小生成树的一般图与正实边权重。动态MST算法的目标是在动态变化(如边权重变化)后有效地更新最小生成树,而不是每次都必须从scatch重新计算它。本文的第一部分调查了各种算法,今天在顺序和分布式环境中解决静态MST问题。我们还提出了一些有效的顺序算法计算动态MST像Frederickson的算法和Eppstein的稀疏化技术。最后,我们提出了我们的新的顺序和分布式算法的动态MST问题。据我们所知,这是第一个用于计算动态MST的分布式算法。
英文摘要:
In this paper, we present a fully-dynamic distributed algorithm for maintaining a minimum spanning tree on general graphs with positive real edge weights. The goal of a dynamic MST algorithm is to update efficiently the minimum spanning tree after dynamic changes like edge weight changes, rather than having to recompute it from scatch each time. The first part of the paper surveys various algorithms available today both in sequential and distributed environments to solve static MST problem. We also present some of the efficient sequential algorithms for computing dynamic MST like the Frederickson's algorithm and Eppstein's sparsification technique. Lastly we present our new sequential and distributed algorithms for dynamic MST problem. To our knowledge, this is the first of the distributed algorithms for computing dynamic MSTs.
机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。