Real-time detection of grid bulk transfer traffic

Paisley, J. and Sventek, J.S. (2006) Real-time detection of grid bulk transfer traffic. In: The Tenth IEEE/IFIP Network Operations and Management Symposium 2006 (NOMS 2006), Vancouver, British Columbia, Canada, April 2006, pp. 66-72. (doi: 10.1109/NOMS.2006.1687539)

Abstract

The current practice of physical science research has yielded a continuously growing demand for interconnection network bandwidth to support the sharing of large datasets. Academic research networks and internet service providers have provisioned their networks to handle this type of load, which generates prolonged, high-volume traffic between nodes on the network. Maintenance of QoS for all network users demands that the onset of these (Grid bulk) transfers be detected to enable them to be reengineered through resources specifically provisioned to handle this type of traffic. This paper describes a real-time detector that operates at full-line-rate on Gb/s links, operates at high connection rates, and can track the use of ephemeral or non-standard ports.

• Item Type: Conference Proceedings
• Keywords: Real-time application detector, ephemeral ports, grid bulk transfer.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Sventek, Professor Joseph
• Authors: Paisley, J., and Sventek, J.S.
• Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
• College/School: College of Science and Engineering > School of Computing Science
• Publisher: IEEE
• ISSN: 1542-1201
• Copyright Holders: Copyright © 2006 IEEE
• First Published: First published in the Tenth IEEE/IFIP Network Operations and Management Symposium 2006 (NOMS 2006)
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher.

Project Code	Award No	Project Name	Principal Investigator	Funder's Name	Funder Ref	Lead Dept
36156	1	Performance measurement and management for two-level optimization of networks and peer-to-peer applications	Joseph Sventek	Engineering & Physical Sciences Research Council (EPSRC)	GR/S68989/01	School of Computing Science