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Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-33389

Morariu, C; Racz, P; Stiller, B (2010). SCRIPT: A framework for scalable real-time IP flow record analysis. In: 12th IEEE/IFIP Network Operations and Management Symposium (NOMS 2010), Osaka, Japan, 19 April 2010 - 23 April 2010, 278-285.

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Abstract

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.

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1 citation in Web of Science®
1 citation in Scopus®
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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
DDC:000 Computer science, knowledge & systems
Language:English
Event End Date:23 April 2010
Deposited On:27 Jul 2010 07:25
Last Modified:23 Nov 2012 14:17
Publisher:IEEE
Series Name:IEEE/IFIP Network Operations and Management Symposium
ISSN:1542-1201
ISBN:978-1-4244-5366-5 (P) 978-1-4244-5367-2 (E)
Additional Information:© 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Publisher DOI:10.1109/NOMS.2010.5488476

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