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Computer Sciences

Brigham Young University

Bandwidth

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Full-Text Articles in Physical Sciences and Mathematics

A Selective Approach To Bandwidth Overbooking, Feng Huang Mar 2006

A Selective Approach To Bandwidth Overbooking, Feng Huang

Theses and Dissertations

Overbooking is a technique used by network providers to increase bandwidth utilization. If the overbooking factor is chosen appropriately, additional virtual circuits can be admitted without degrading quality of service for existing customers. Most existing implementations use a single factor to accept a linear fraction of traffic requests. High values of this factor may cause the degradation of quality of service whereas low overbooking factors will result in underutilization of bandwidth. Network providers often select overbooking factors based only on aggregate average virtual circuit utilization. This paper proposes a selective overbooking scheme based on trunk size and usage profile. Experiments …


Aggressive Telecommunications Overbooking Ratios, Robert Ball, Mark J. Clement, Casey T. Deccio, Feng Huang, Quinn O. Snell Apr 2004

Aggressive Telecommunications Overbooking Ratios, Robert Ball, Mark J. Clement, Casey T. Deccio, Feng Huang, Quinn O. Snell

Faculty Publications

The Internet is comprised of vast networks of wires and fiber. A common misconception is that there is an unlimited amount of bandwidth; in reality there exists only a finite amount. Each length of wire and fiber is owned by a company, and every company wants to maximize its profit. One means of improving profit is to overbook existing transmission lines in order to increase income without increasing expenses. If too much overbooking is performed, the Quality of Service (QoS) seen by customers will decline. This paper explains a process to achieve an optimal Overbooking Ratio (OR) for admission control …


Effective Bandwidth For Traffic Engineering, Mark J. Clement, Rob Kunz, Seth Nielson, Quinn O. Snell May 2001

Effective Bandwidth For Traffic Engineering, Mark J. Clement, Rob Kunz, Seth Nielson, Quinn O. Snell

Faculty Publications

In today’s Internet, demand is increasing for guarantees of speed and efficiency. Current routers are very limited in the type and quantity of observed data they can provide, making it difficult for providers to maximize utilization without the risk of degraded throughput. This research uses statistical data currents provided by router vendors to estimate the impact of changes in network configuration on the probability of link overflow. This allows service providers to calculate in advance, the effect of grooming on a network, eliminating the conservative trial-and-error approach normally used. These predictions are made using Large Deviation Theory, which focuses on …