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Contribution Details

Type Conference or Workshop Paper
Scope Discipline-based scholarship
Published in Proceedings Yes
Title SCRIPT: A framework for scalable real-time IP flow record analysis
Organization Unit
Authors
  • Cristian Morariu
  • Peter Racz
  • Burkhard Stiller
Editors
  • Y Kiriha
  • L Zambenedetti Granville
  • D Medhi
  • T Tonouchi
  • M-S Kim
Presentation Type paper
Item Subtype Original Work
Refereed Yes
Status Published in final form
Language
  • English
ISBN 978-1-4244-5366-5
ISSN 1542-1201
Page Range 278 - 285
Event Title 2010 IEEE Network Operations and Management Symposium - NOMS 2010
Event Type conference
Event Location Osaka, Japan
Event Start Date April 19 - 2010
Event End Date April 23 - 2010
Series Name IEEE/IFIP Network Operations and Management Symposium (NOMS)
Place of Publication Osaka, Japan
Publisher Institute of Electrical and Electronics Engineers
Abstract Text Analysis of IP traffic is highly important, since it determines the starting point of many network management operations, such as intrusion detection, network planning, network monitoring, or accounting and billing. One of the most utilized metering data formats in analysis applications are IP (Internet Protocol) flow records. With the increase of IP traffic, such traffic analysis applications need to cope with a constantly increasing number of flow records. Typically, centralized approaches to IP traffic analysis have scalability problems, which are addressed by replacing existing hardware with more powerful CPUs and faster memory. In contrast, this paper developed and implemented SCRIPT (Scalable Real-time IP Flow Record Analysis), which defines a scalable analysis framework that can be used to distribute flow records to multiple nodes performing traffic analysis in order to balance the overall workload among those nodes. Due to its generic design, the framework developed can be extended and used to distribute other metering data, such as packet headers, payloads, or accounting records.
Digital Object Identifier 10.1109/NOMS.2010.5488476
Other Identification Number eISBN: 978-1-4244-5367-2; merlin-id:79
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