KAUST DepartmentComputer Science Program
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Online Publication Date2019-11-26
Print Publication Date2020-06
Permanent link to this recordhttp://hdl.handle.net/10754/660304
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AbstractThe conventional wisdom is that a software-defined network (SDN) operates under the premise that the logically centralized control plane has an accurate representation of the actual data plane state. Unfortunately, bugs, misconfigurations, faults or attacks can introduce inconsistencies that undermine correct operation. Previous work in this area, however, lacks a holistic methodology to tackle this problem and thus, addresses only certain parts of the problem. Yet, the consistency of the overall system is only as good as its least consistent part. Motivated by an analogy of network consistency checking with program testing, we propose to add active probe-based network state fuzzing to our consistency check repertoire. Hereby, our system, PAZZ, combines production traffic with active probes to periodically test if the actual forwarding path and decision elements (on the data plane) correspond to the expected ones (on the control plane). Our insight is that active traffic covers the inconsistency cases beyond the ones identified by passive traffic. PAZZ prototype was built and evaluated on topologies of varying scale and complexity. Our results show that PAZZ requires minimal network resources to detect persistent data plane faults through fuzzing and localize them quickly while outperforming baseline approaches.
CitationShukla, A., Saidi, S. J., Schmid, S., Canini, M., Zinner, T., & Feldmann, A. (2019). Towards Consistent SDNs: A Case for Network State Fuzzing. IEEE Transactions on Network and Service Management, 1–1. doi:10.1109/tnsm.2019.2955790
SponsorsWe thank Georgios Smaragdakis and our anonymous reviewers for their helpful feedback. This work and its dissemination efforts were conducted as a part of Verify project supported by the German Bundesministerium für Bildung und Forschung (BMBF) Software Campus grant 01IS17052.