本篇論文針對雙分圖著色問題,提出一個具有錯誤抑制的自我穩定演算法。一個分散式系統在任意的初始狀態下,不需外力的介入便可自動調整錯誤,並保證在有限步驟之內,使系統恢復到合理狀態。實際上,一個處於合理狀態的分散式系統,其一次只有一個node發生transient fault的機率會遠大於多個nodes同時發生transient fault的機率,因此對single fault改善的演算法會較具有時價值。到目前為止,針對雙分圖著色問題所設計的自我穩定演算法,在發生single transient fault之後,會有n-2個nodes的資料會被改變( n為系統中所有node之個數)且其stabilization time為W(n2)。而本篇之演算法,只有一個nodes的資料會被改變且stabilization time亦縮為O(min(D2,n))。(D為maximum node degree )
Proposed here is a fault-containing self-stabilizing algorithm which induces a 2-coloring for a system with a bipartite graph topology. Our approach is taken after Gupta ,[2],[4],[5],[6] and our algorithm is an enhancement of that by [3]. In the single-fault situation, the stabilization time in the worst case of the algorithm in [3] is W(n2) and the contamination number is at least n-2, where n is the number of all nodes in the system; whereas the stabilization time of our algorithm is O(min(D2,n)), and the contamination number is 1。