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Internet evolution is driven by a continuous stream of new applications and users driving the demand for services. To keep up with this, a never-stopping research has been transforming the Internet ecosystem over the time. Technological changes on both protocols (the uptake of IPv6) and network architectures (the adoption of Software Defined Networking) introduced new challenges for ASIC designers. In particular, IPv6 and OpenFlow increased the complexity of the rule matching problem, pushing researchers to build new packet classification algorithms capable to keep pace with a steady growth of link speed. A lot of research effort identifies better lookup techniques capitalizing on the characteristics of rule sets. So far, the availability of small numbers of real rule sets and synthetic ones, generated with tools such as ClassBench, has boosted research in the IPv4 world. Starting from an analysis of rule sets taken from operational environments, we present ClassBench-ng, a new open source tool for the generation of synthetic IPv4, IPv6, and OpenFlow 1.0 rule sets exposing the same properties of real ones. We feel this tool can meet the requirements of nowadays researchers, boosting the rule matching research as ClassBench has done since ten years ago.

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We propose a push-based approach to network monitoring that allows the detection, within the dataplane, of traffic aggregates. Notifications from the switch to the controller are sent only if required, avoiding the transmission or processing of unnecessary data. Furthermore, the dataplane iteratively refines the responsible IP prefixes, allowing the controller to receive information with a flexible granularity. We implemented our solution, Elastic Trie, in P4 and for two different FPGA devices. We evaluated it with packet traces from an ISP backbone. Our approach can spot changes in the traffic patterns and detect (with 95% of accuracy) either hierarchical heavy hitters with less than 8KB or superspreaders with less than 300KB of memory, respectively. Additionally, it reduces controller-dataplane communication overheads by up to two orders of magnitude with respect to state-of-the-art solutions. CCS CONCEPTS• Networks → Network monitoring; Network measurement; Programmable networks; In-network processing.

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