Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/4286
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Gyarmati, Laszlo | - |
dc.contributor.author | Laoutaris, Nikolaos | - |
dc.contributor.author | Sirivianos, Michael | - |
dc.contributor.other | Σιριβιανός, Μιχάλης | - |
dc.contributor.other | Λαουτάρης, Νικόλαος | - |
dc.date.accessioned | 2013-02-18T13:18:07Z | en |
dc.date.accessioned | 2013-05-17T10:38:47Z | - |
dc.date.accessioned | 2015-12-09T12:04:22Z | - |
dc.date.available | 2013-02-18T13:18:07Z | en |
dc.date.available | 2013-05-17T10:38:47Z | - |
dc.date.available | 2015-12-09T12:04:22Z | - |
dc.date.issued | 2012 | - |
dc.identifier.citation | 2012 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 25-30 March 2012, pp. 171-176 | en_US |
dc.identifier.isbn | 978-1-4673-1016-1 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/4286 | - |
dc.description.abstract | Internet backbone operators face a trade-off in quantifying the costs that their customers inflict on their infrastructure since the precision of these methods depends on the resources dedicated to traffic monitoring. Operators prefer simple and straightforward monitoring schemes, which in turn raises the question of: “what is the price of simplicity in monitoring and cost computation?” We address this questions by quantifying the costs of customers with real-world data. Our four-week long dataset describes a large operator's customer traffic patterns over 401 geographically distributed network links. We study the differences of common cost sharing policies compared to an absolutely accurate and fair policy. The cost discrepancy between different methods exceeds 25% in 71% of the examined cases. We reveal the root cause of these discrepancies by analyzing the customer traffic patterns. Moreover, we quantify the impact of the geographically diverse costs of network links. Our results reveal that simplicity comes at a rather high cost in terms of decoupling between computed and real costs | en_US |
dc.language.iso | en | en_US |
dc.rights | © Copyright 2012 IEEE | en_US |
dc.subject | Internet | en_US |
dc.subject | Traffic monitoring | en_US |
dc.subject | Consumer satisfaction | en_US |
dc.subject | Sales | en_US |
dc.title | Sharing the cost of backbone networks: simplicity vs. precision | en_US |
dc.type | Book Chapter | en_US |
dc.affiliation | Cyprus University of Technology | en |
dc.subject.category | Computer and Information Sciences | en_US |
dc.review | peer reviewed | - |
dc.country | Cyprus | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.relation.conference | IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) | en_US |
dc.identifier.doi | 10.1109/INFCOMW.2012.6193483 | en_US |
dc.dept.handle | 123456789/134 | en |
cut.common.academicyear | 2011-2012 | en_US |
item.openairetype | bookPart | - |
item.cerifentitytype | Publications | - |
item.languageiso639-1 | en | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_3248 | - |
item.grantfulltext | none | - |
crisitem.author.dept | Department of Electrical Engineering, Computer Engineering and Informatics | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.orcid | 0000-0002-6500-581X | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
Appears in Collections: | Κεφάλαια βιβλίων/Book chapters |
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