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TreeCAM: Decoupling Updates and Lookups in Packet Classification

TreeCAM: Decoupling Updates and Lookups in Packet Classification. Authors: Balajee Vamanan and T. N. Vijaykumar Conf. : ACM CoNEXT 2011 Presenter : JHAO-YAN JIAN Date : 2012/5/9. INTRODUCTION. Line rates increasing (40 Gbps now, 160 Gbps soon)

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TreeCAM: Decoupling Updates and Lookups in Packet Classification

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  1. TreeCAM: Decoupling Updates and Lookups in Packet Classification Authors:Balajee Vamanan and T. N. Vijaykumar Conf. :ACM CoNEXT 2011 Presenter : JHAO-YAN JIAN Date : 2012/5/9

  2. INTRODUCTION • Line rates increasing (40 Gbps now, 160 Gbps soon) • Classifier size (number of rules) increasing • Custom rules for VPNs, QoS • Rules are getting more dynamic too • Larger classifiers at faster lookup & update rates • Must perform well in lookups and updates at low power

  3. INTRODUCTION • TreeCAM: Three novel ideas • Dual tree versionsto decouple lookups and updates • coarse tree in TCAM  reduce lookup accesses • Tree/TCAM hybrid • fine tree in control memory  reduce update effort • Interleaved layoutof leaves to cut ordering effort • Performs well in lookups and updates • 6-8 TCAM accesses for lookups • Close to ideal TCAM for updates

  4. TreeCAM Coarse Tree • Idea: partition rules among TCAM subarrays using decision trees • 4k-entry subarrays  coarse tree with each leaf in a subarray • 2-deep tree  fast lookup • Packets traverse subarrays

  5. TreeCAM Fine Tree • Key observation: A packet cannot match multiple leaves  only rules within the same leaf need ordering • Reduce update effort  Tree with small binth – fine tree • One coarse-tree leaf contains some contiguous fine-tree leaves

  6. Updating - No Re-balancing

  7. Updating - Local Re-balancing

  8. Updating - Global Re-balancing

  9. EXPERIMENTAL

  10. EXPERIMENTAL

  11. EXPERIMENTAL

  12. EXPERIMENTAL

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