Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/9587
Title: Quantifying the Costs of Customers for Usage-Based Pricing
Authors: Gyarmati, László 
Stanojevic, Rade S. 
Sirivianos, Michael 
Laoutaris, Nikolaos 
metadata.dc.contributor.other: Σιριβιανός, Μιχάλης
Λαουτάρης, Νικόλαος
Major Field of Science: Social Sciences
Field Category: Economics and Business
Keywords: Communication networks;Cost allocation methods;Customer liability;Customers' costs;F-discrepancy;M-discrepancy;Quantification;Total cost of ownership (TCO);Traffic metering method
Issue Date: 9-Sep-2014
Source: Smart Data Pricing, 2014, pp. 167-193
Abstract: This chapter focuses on the quantification of the customers' costs in communication networks, that is, how an operator should share the cost of the infrastructure among its customers. It reviews the cost of the network infrastructure and also how this cost is affected by the aggregate traffic of the customers. The chapter provides a metric, namely, discrepancy that quantifies the differences of cost-sharing policies. The first source of discrepancies in some cost allocation methods is the function that the operator uses to compute the contribution of the customers to the aggregate cost (i.e., F-discrepancy). The traffic metering method is the second source of the discrepancies (i.e., M-discrepancy). The third class of discrepancies is related to the total cost of ownership (TCO) of different devices of the network. The final type of discrepancies is caused by the different types of customer liability.
URI: https://hdl.handle.net/20.500.14279/9587
ISBN: 978-111889925-0
DOI: 10.1002/9781118899250.ch7
Rights: © 2014 John Wiley & Sons, Inc.
Type: Book Chapter
Affiliation : Telefonica Research 
Cyprus University of Technology 
Publication Type: Peer Reviewed
Appears in Collections:Κεφάλαια βιβλίων/Book chapters

CORE Recommender
Show full item record

Page view(s)

405
Last Week
0
Last month
1
checked on Nov 6, 2024

Google ScholarTM

Check

Altmetric


Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.