dc.contributor.author | Katsaros, Dimitrios S. | en |
dc.contributor.author | Pallis, George C. | en |
dc.contributor.author | Stamos, Kostas | en |
dc.contributor.author | Vakali, Athena I. | en |
dc.contributor.author | Sidiropoulos, Antonis | en |
dc.contributor.author | Manolopoulos, Yannis | en |
dc.creator | Katsaros, Dimitrios S. | en |
dc.creator | Pallis, George C. | en |
dc.creator | Stamos, Kostas | en |
dc.creator | Vakali, Athena I. | en |
dc.creator | Sidiropoulos, Antonis | en |
dc.creator | Manolopoulos, Yannis | en |
dc.date.accessioned | 2019-11-13T10:40:39Z | |
dc.date.available | 2019-11-13T10:40:39Z | |
dc.date.issued | 2009 | |
dc.identifier.issn | 1041-4347 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/54231 | |
dc.description.abstract | Content distribution networks (CDNs) balance costs and quality in services related to content delivery. Devising an efficient content outsourcing policy is crucial since, based on such policies, CDN providers can provide client-tailored content, improve performance, and result in significant economical gains. Earlier content outsourcing approaches may often prove ineffective since they drive prefetching decisions by assuming knowledge of content popularity statistics, which are not always available and are extremely volatile. This work addresses this issue, by proposing a novel self-adaptive technique under a CDN framework on which outsourced content is identified with no a priori knowledge of (earlier) request statistics. This is employed by using a structure-based approach identifying coherent clusters of "correlated" Web server content objects, the so-called Web page communities. These communities are the core outsourcing unit, and in this paper, a detailed simulation experimentation has shown that the proposed technique is robust and effective in reducing user-perceived latency as compared with competing approaches, i.e., two communities-based approaches, Web caching, and non-CDN. © 2009 IEEE. | en |
dc.source | IEEE Transactions on Knowledge and Data Engineering | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-57149119518&doi=10.1109%2fTKDE.2008.92&partnerID=40&md5=139cfafbd759d19ca1a7277b41e99fd8 | |
dc.subject | World Wide Web | en |
dc.subject | Graph theory | en |
dc.subject | Electric power distribution | en |
dc.subject | Distributed parameter networks | en |
dc.subject | Electric network analysis | en |
dc.subject | Caching | en |
dc.subject | Content distribution networks | en |
dc.subject | Distribution of goods | en |
dc.subject | Outsourcing | en |
dc.subject | Replication | en |
dc.subject | Social network analysis | en |
dc.subject | Web communities | en |
dc.title | CDNs content outsourcing via generalized communities | en |
dc.type | info:eu-repo/semantics/article | |
dc.identifier.doi | 10.1109/TKDE.2008.92 | |
dc.description.volume | 21 | |
dc.description.issue | 1 | |
dc.description.startingpage | 137 | |
dc.description.endingpage | 151 | |
dc.author.faculty | 002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences | |
dc.author.department | Τμήμα Πληροφορικής / Department of Computer Science | |
dc.type.uhtype | Article | en |
dc.description.notes | <p>Cited By :18</p> | en |
dc.source.abbreviation | IEEE Trans Knowl Data Eng | en |
dc.contributor.orcid | Pallis, George C. [0000-0003-1815-5468] | |
dc.contributor.orcid | Vakali, Athena I. [0000-0002-0666-6984] | |
dc.gnosis.orcid | 0000-0003-1815-5468 | |
dc.gnosis.orcid | 0000-0002-0666-6984 | |