Roman May Practical Concurrency Analysis for SDN

By operating in highly asynchronous environments, SDN controllers often su er from bugs caused by concurrency violations. Unfortunately, state-of-the-art concurrency analyzers for SDNs often report thousands of possible violations, limiting their e ectiveness in practice. This work presents BigBug, an approach for automatically identifying the most representative concurrency violations: those that capture the cause of the violation. The two key insights behind BigBug are that: (i) many violations share the same root cause; and (ii) violations with the same root cause share common characteristics. BigBug leverages these observations to cluster reported violations according to the similarity of events in them as well as common SDN-speci c features. BigBug then reports the most representative violation for each cluster using a ranking function. We implemented BigBug and showed its practical e ectiveness. In more than 2000 experiments involving di erent controllers and applications, BigBug systematically produced 6 clusters or less, corresponding to a median decrease of 95% over state-of-the-art analyzers. The number of violations reported by BigBug also closely matched that of actual bugs, indicating that BigBug is e ective at identifying root causes of SDN races.