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NUBB: a network usage-based billing system

Published: 06 November 2005 Publication History

Abstract

Beginning with the 2003-2004 academic year, Cornell University implemented a new billing model for data service designed to provide a fair and equitable rate structure for all users -- a Network Usage-Based Billing (NUBB) system where users pay according to the bandwidth they consume. This model ensured that network costs were covered, including anticipated upgrades, and that the costs were distributed in a way that reflected the usage patterns around campus. Now a mature billing model, this paper examines how this system was structured and implemented at Cornell, the support and administration required, the impact of changing to this system, customer perception of and response to the change, and its' effect on bandwidth utilization and management.

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  • (2013)Billing Processes in Personalized MedicineHigh-Performance In-Memory Genome Data Analysis10.1007/978-3-319-03035-7_5(101-123)Online publication date: 19-Nov-2013

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cover image ACM Conferences
SIGUCCS '05: Proceedings of the 33rd annual ACM SIGUCCS conference on User services
November 2005
482 pages
ISBN:1595932003
DOI:10.1145/1099435
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 November 2005

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Author Tags

  1. bandwidth
  2. billing model
  3. data service
  4. usage-based billing

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SIGUCCS Fall05
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Overall Acceptance Rate 192 of 261 submissions, 74%

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View all
  • (2013)Billing Processes in Personalized MedicineHigh-Performance In-Memory Genome Data Analysis10.1007/978-3-319-03035-7_5(101-123)Online publication date: 19-Nov-2013

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