کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
425242 685710 2014 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Efficient parallel automata construction for hybrid resource-impelled data-matching
ترجمه فارسی عنوان
ساختار موازی اتوماتای ​​موازی برای تطبیق داده های هیبرید منابع
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نظریه محاسباتی و ریاضیات
چکیده انگلیسی


• We present an innovative heterogeneous architecture for multiple pattern matching.
• We show how to optimize the performance of the construction stages significantly.
• First known hybrid-parallel, full-duplex model for fast self-adjustable automata.
• Support for on-demand regular-expression scanning and custom heuristics.
• Includes resource monitor watchdog for limiting resource consumption on GPUs.

We are presenting an innovative, massively-parallel heterogeneous architecture for the very fast construction and implementation of very large Aho–Corasick and Commentz-Walter pattern-matching automata, commonly used in data-matching applications, and validate its use with large sets of data actively used in intrusion detection systems. Our approach represents the first known hybrid-parallel model for the construction of such automata and the first to allow self-adjusting pattern-matching automata in real-time by allowing full-duplex transfers at maximum throughput between the host (CPU) and the device (GPU). The architecture we propose is easily scalable to multi-GPU and multi-CPU systems and benefits greatly from GPU acceleration, also relying on a highly-efficient storage model for the automata and includes on-demand support for regular-expression matching, as well as support for custom heuristics to be built on top of the architecture, at different processing stages.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Future Generation Computer Systems - Volume 36, July 2014, Pages 31–41
نویسندگان
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