A Computational Approach to Packet Classification

Alon Rashelbach, Ori Rottenstreich, Mark Silberstein

نتاج البحث: فصل من :كتاب / تقرير / مؤتمرمنشور من مؤتمرمراجعة النظراء

ملخص

Multi-field packet classification is a crucial component in modern software-defined data center networks. To achieve high throughput and low latency, state-of-the-art algorithms strive to fit the rule lookup data structures into on-die caches; however, they do not scale well with the number of rules. We present a novel approach, NuevoMatch, which improves the memory scaling of existing methods. A new data structure, Range Query Recursive Model Index (RQ-RMI), is the key component that enables NuevoMatch to replace most of the accesses to main memory with model inference computations. We describe an efficient training algorithm that guarantees the correctness of the RQ-RMI-based classification. The use of RQ-RMI allows the rules to be compressed into model weights that fit into the hardware cache. Further, it takes advantage of the growing support for fast neural network processing in modern CPUs, such as wide vector instructions, achieving a rate of tens of nanoseconds per lookup. Our evaluation using 500K multi-field rules from the standard ClassBench benchmark shows a geometric mean compression factor of 4.9x, 8x, and 82x, and average performance improvement of 2.4x, 2.6x, and 1.6x in throughput compared to CutSplit, NeuroCuts, and TupleMerge, all state-of-the-art algorithms1.

اللغة الأصليةالإنجليزيّة
عنوان منشور المضيفSIGCOMM 2020 - Proceedings of the 2020 Annual Conference of the ACM Special Interest Group on Data Communication on the Applications, Technologies, Architectures, and Protocols for Computer Communication
الصفحات542-556
عدد الصفحات15
رقم المعيار الدولي للكتب (الإلكتروني)9781450379557
المعرِّفات الرقمية للأشياء
حالة النشرنُشِر - 30 يوليو 2020
الحدث2020 Annual Conference of the ACM Special Interest Group on Data Communication on the Applications, Technologies, Architectures, and Protocols for Computer Communication, SIGCOMM 2020 - Virtual, Online, الولايات المتّحدة
المدة: ١٠ أغسطس ٢٠٢٠١٤ أغسطس ٢٠٢٠

سلسلة المنشورات

الاسمSIGCOMM 2020 - Proceedings of the 2020 Annual Conference of the ACM Special Interest Group on Data Communication on the Applications, Technologies, Architectures, and Protocols for Computer Communication

!!Conference

!!Conference2020 Annual Conference of the ACM Special Interest Group on Data Communication on the Applications, Technologies, Architectures, and Protocols for Computer Communication, SIGCOMM 2020
الدولة/الإقليمالولايات المتّحدة
المدينةVirtual, Online
المدة١٠/٠٨/٢٠١٤/٠٨/٢٠

All Science Journal Classification (ASJC) codes

  • !!Hardware and Architecture
  • !!Computer Networks and Communications
  • !!Electrical and Electronic Engineering

بصمة

أدرس بدقة موضوعات البحث “A Computational Approach to Packet Classification'. فهما يشكلان معًا بصمة فريدة.

قم بذكر هذا