Title
Measurement and performance of a cognitive packet network
Date Issued
01 December 2001
Access level
metadata only access
Resource Type
journal article
Author(s)
University of Central Florida
Abstract
As the size of the Internet grows by orders of magnitude both in terms of users, number of IP addresses, and number of routers, and as the links we use (be they wired, optical or wireless) continuously evolve and provide varying reliability and quality of service, the IP based network architecture that we know so well will have to evolve and change. Both scalability and QoS have become key issues. We are currently conducting a research project that revisits the IP routing architecture issues and proposes new designs for routers. As part of this effort, this paper discusses a packet network architecture called a cognitive packet network (CPN), in which intelligent capabilities for routing and flow control are moved towards the packets, rather than being concentrated in the nodes. In this paper we outline the design of the CPN architecture, and discuss the quality-of-service based routing algorithm that we have designed and implemented. We then present our test-bed and report on extensive measurement experiments that we have conducted. © 2001 Elsevier science B.V. All rights reserved.
Start page
691
End page
701
Volume
37
Issue
6
Language
English
OCDE Knowledge area
Ingeniería de sistemas y comunicaciones Hardware, Arquitectura de computadoras
Scopus EID
2-s2.0-0035576358
Source
Computer Networks
ISSN of the container
13891286
Sponsor(s)
The research reported in this paper was supported by US Army Simulation and Training Command and by Giganet Technologies, Inc. Erol Gelenbe is the author of several books in the area of queuing networks and computer system performance which have appeared in English, French, Japanese and Korean. He has graduated some 55 Ph.D. students and published over 100 articles in leading journals of Computer Science, Electrical Engineering and applied Probability. He currently works on novel network architectures and protocols, as well as on multimedia applications. His recent papers have appeared in the Proceedings of the IEEE, the IEEE Journal on Selected Areas in Communications, the IEEE Transactions on Neural Networks and the journal Performance Evaluation. He holds the University Chair of Electrical Engineering and Computer Science (EECS) at the University of Central Florida, where he is Director of the School of EECS and Associate Dean of Engineering. He holds a Ph.D. from Polytechnic University (Brooklyn, New York), and the Doctor of Science degree from the University Pierre et Marie Curie (Paris VI) in France. His ...
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