Distributed snapshots: determining global states of distributed systems
ACM Transactions on Computer Systems (TOCS)
Measuring ISP topologies with rocketfuel
IEEE/ACM Transactions on Networking (TON)
MapReduce: simplified data processing on large clusters
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
Depth-first search and linear grajh algorithms
SWAT '71 Proceedings of the 12th Annual Symposium on Switching and Automata Theory (swat 1971)
NSDI'10 Proceedings of the 7th USENIX conference on Networked systems design and implementation
Debugging the data plane with anteater
Proceedings of the ACM SIGCOMM 2011 conference
Header space analysis: static checking for networks
NSDI'12 Proceedings of the 9th USENIX conference on Networked Systems Design and Implementation
A NICE way to test openflow applications
NSDI'12 Proceedings of the 9th USENIX conference on Networked Systems Design and Implementation
Where is the debugger for my software-defined network?
Proceedings of the first workshop on Hot topics in software defined networks
Automatic test packet generation
Proceedings of the 8th international conference on Emerging networking experiments and technologies
A SOFT way for openflow switch interoperability testing
Proceedings of the 8th international conference on Emerging networking experiments and technologies
VeriFlow: verifying network-wide invariants in real time
nsdi'13 Proceedings of the 10th USENIX conference on Networked Systems Design and Implementation
Real time network policy checking using header space analysis
nsdi'13 Proceedings of the 10th USENIX conference on Networked Systems Design and Implementation
Leveraging SDN layering to systematically troubleshoot networks
Proceedings of the second ACM SIGCOMM workshop on Hot topics in software defined networking
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Data center networks often have errors in the forwarding tables, causing packets to loop indefinitely, fall into black-holes or simply get dropped before they reach the correct destination. Finding forwarding errors is possible using static analysis, but none of the existing tools scale to a large data center network with thousands of switches and millions of forwarding entries. Worse still, in a large data center network the forwarding state is constantly in flux, which makes it hard to take an accurate snapshot of the state for static analysis. We solve these problems with Libra, a new tool for verifying forwarding tables in very large networks. Libra runs fast because it can exploit the scaling properties of MapReduce. We show how Libra can take an accurate snapshot of the forwarding state 99.9% of the time, and knows when the snapshot cannot be trusted. We show results for Libra analyzing a 10,000 switch network in less than a minute, using 50 servers.