Internet access and capacity planning: Quantifying relationships between usage, capacity, and blocking
AbstractThe blocking probability is commonly used to evaluate the quality-of-service (QoS) offered by dialup Internet Service Providers (ISPs). Unfortunately, dialup ISPs employ no blocking standards or thresholds. This raises questions as to exactly how providers measure and evaluate QoS with respect to network access and how they make capacity planning decisions. Many ISPs use the User-to-Modem Ratio (UMR) as a surrogate measure for service quality, but there are no well defined direct relationships between the UMR and the blocking probability. In this paper, relationships between the UMR and other well known traffic variables and the blocking probability are quantified, and the usefulness of the UMR as a standalone QoS metric is explored. Blocking probabilities are estimated for a range of UMRs via simulation from a range of demand scenarios developed from observed data. A predictive regression model is introduced to quantify the affects of independent predictor variables on blocking. Results show that the UMR is not a useful standalone QoS metric and traditionally favored UMRs such as 10:1 cannot be associated with "high quality service" in a de facto manner.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Elsevier in its journal Telecommunications Policy.
Volume (Year): 34 ()
Issue (Month): 5-6 (June)
Contact details of provider:
Web page: http://www.elsevier.com/wps/find/journaldescription.cws_home/30471/description#description
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.