By Topic

Statistical Bandwidth Sharing in End-to-End Connectivity Management over Bandwidth-provisioned Networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Kaliappa Ravindran ; Department of Computer Science, Graduate School and University Center, The City University of New York, New York, NY 10019. Email: ; Mohammad Rabby

The paper describes a policy-based model for cost-effective 'data connectivity' provisioning between session-level end-points. The connectivity provider (SP) may employ an architecture for end-to-end QoS control between data aggregation points. It involves: (i) maintaining multiple diffserv-type connections between end-points with parameterizable QoS differentiation between them, and (ii) admission control at end-points with intserv-type bandwidth management over connections, (ii) aggregates data flows with closely-similar QoS needs over a single end-to-end connection, (i) apportions the available infrastructure bandwidth between various end-to-end connections that carry (aggregated) data flows with distinct QoS levels. Flow aggregation over a connection allows reaping the statistical multiplexing gains in bandwidth, i.e., meets the SP's revenue incentives. Whereas, connection-level bandwidth allocation allows meeting the QoS needs of data flows, i.e., guarantees the end-user's utility. The management functions of SP monitor the changes and/or outages in network bandwidth in a dynamic setting, and maps them onto the connectivity costs incurred for Qos control. Our model allows installing policy functions at end-points that can make the connectivity provisioning cost-optimal.

Published in:

Computer Communications and Networks, 2007. ICCCN 2007. Proceedings of 16th International Conference on

Date of Conference:

13-16 Aug. 2007