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Network operators today spend significant manual effort in ensuring andchecking that the network meets their intended policies. While recent work innetwork verification has made giant strides to reduce this effort, they focuson simple reachability properties and cannot handle context-dependent policies(e.g., how many connections has a host spawned) that operators realize usingstateful network functions (NFs). Together, these introduce new expressivenessand scalability challenges that fall outside the scope of existing networkverification mechanisms. To address these challenges, we present Armstrong, asystem that enables operators to test if network with stateful data planeelements correctly implements a given context-dependent policy. Our designmakes three key contributions to address expressiveness and scalability: (1) Anabstract I/O unit for modeling network I/O that encodes policy-relevant contextinformation; (2) A practical representation of complex NFs via an ensemble offinite state machines abstraction; and (3) A scalable application of symbolicexecution to tackle state space explosion. We demonstrate that Armstrong isseveral orders of magnitude faster than existing mechanisms.

Scalable Testing of Context-Dependent Policies over Stateful Data Planes with Armstrong