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As the sheer amount of computer generated data continues to growexponentially, new bottlenecks are unveiled that require rethinking ourtraditional software and hardware architectures. In this paper we present fivealgorithms and data structures (long queue emulation, lockless bimodal queues,tail early dropping, LFN tables, and multiresolution priority queues) designedto optimize the process of analyzing network traffic. We integrated theseoptimizations on R-Scope, a high performance network appliance that runs theBro network analyzer, and present benchmarks showcasing performance speed upsof 5X at traffic rates of 10 Gbps.

Algorithms and Data Structures to Accelerate Network Analysis