本篇論文中,我們設計一個在分散式系統中尋找中心點的錯誤抑制自我穩定演算法,我們的演算去在單一錯誤下,worse case的stabilization time是O(∆),∆是最大的degree number,優於其它同一問題的研究,而contamination number是1。
In this thesis, we design a fault-containing self-stabilizing algorithm which finds centers for a distributed system. Our algorithm is based on the algorithm in [5]. In the single-fault situation, the worst case stabilization time of our algorithm is O(∆) which is much better than all existing algorithms for the same problem, where ∆ is the maximum node degree. The contamination number of our algorithm is 1.