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Link failures and cable miswirings are not uncommon in building data centernetworks, which prevents the existing automatic address configuration methodsfrom functioning correctly. However, accurately detecting such malfunctions isnot an easy task because there could be no observable node degree changes.Fixing or correcting such malfunctions is even harder as almost no work canprovide accurate fixation suggestions now.  To solve the problems, we design and implement A3, an automatictopology-aware malfunction detection and fixation system. A3 innovativelyformulates the problem of finding minimal fixation to the problem of computingminimum graph difference (NP-hard) and solves it in O(k^6) and O(k^3) for anyless than k/2 and k/4 undirected link malfunctions for FatTree, respectively.Our evaluation demonstrates that for less than k/2 undirected linkmalfunctions, A3 is 100% accurate for malfunction detection and provides theminimum fixation result. For greater or equal to k/2 undirected linkmalfunctions, A3 still has accuracy of about 100% and provides the near optimalfixation result.

A3: An Automatic Topology-Aware Malfunction Detection and Fixation System in Data Center Networks