NDLI: Improving network traffic acquisition and processing with the Java Virtual Machine

Content Provider	IEEE Xplore Digital Library
Author	Gad, Ruediger Kappes, Martin Medina-Bulo, Inmaculada
Copyright Year	2015
Description	Author affiliation: Frankfurt University of Applied Sciences - Frankfurt am Main, Germany (Gad, Ruediger; Kappes, Martin) \|\| University of Cádiz - Cádiz, Spain (Medina-Bulo, Inmaculada)
Abstract	While network traffic acquisition and processing is typically done with languages like C that allow low-level hardware access and optimizations, languages like Java and their ecosystems aim at easing complex tasks. With a combination of both, strengths can be combined such that more powerful and versatile network traffic processing systems can be engineered. However, while approaches using languages like C are evolved and optimized, network traffic acquisition and processing with the Java Virtual Machine (JVM) is not equivalently optimized and benefits from employing JVM-based languages are not fully exploited yet. We present methods for increasing the network traffic processing performance with the JVM and examples for leveraging dynamic capabilities via a domain specific language and self-adaptivity. We measured improvements by factors of up to 5.9 compared to the old approach and capture rates up to 4.46 million packets per second and could show that the prototype is capable to self-adapt based on performance constraints.
Starting Page	347
Ending Page	352
File Size	314970
Page Count	6
File Format	PDF
e-ISBN	9781467371940
DOI	10.1109/ISCC.2015.7405539
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-06
Publisher Place	Cyprus
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Java Data mining DSL Optimization Real-time systems Arrays Virtual machining Self-adaptive Computer Network Traffic Packet Capturing Java Virtual Machine Performance
Content Type	Text
Resource Type	Article

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