dc.contributor.author | Kilanioti, Irene | en |
dc.contributor.author | Papadopoulos, George Angelos | en |
dc.contributor.editor | Rana O. | en |
dc.contributor.editor | Buyya, R. | en |
dc.contributor.editor | Raicu I. | en |
dc.creator | Kilanioti, Irene | en |
dc.creator | Papadopoulos, George Angelos | en |
dc.date.accessioned | 2019-11-13T10:40:43Z | |
dc.date.available | 2019-11-13T10:40:43Z | |
dc.date.issued | 2015 | |
dc.identifier.isbn | 978-0-7695-5697-0 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/54261 | |
dc.description.abstract | Most Content Delivery Networks (CDNs) are operated as a Software as a Service (SaaS): Many cloud providers build their custom CDNs to benefit from content users, as well as reduce demand on their own telecommunications infrastructure. More importantly, though, CDNs contribute to cloud adoption, as they can address network problems of cloud computing. With multimedia content providers requiring CDN services to enable the delivery of bandwindth-demanding media to end-users, and the growth of HTTP traffic due to media files circulating over Online Social Networks (OSNs), a social-awareness mechanism over a CDN becomes essential, to mitigate the considerable weight placed on bandwidth. A social awareness mechanism augmented to a stand-alone CDN traffic simulator addresses the issue of which content will be copied in the surrogate servers of a CDN infrastructure and to what extent. Hence, it ensures an optimized content diffusion placement. Herein, we further address the issue of temporal diffusion, related to the most efficient timing of the content placement. We exploit the knowledge of peak times for upload and download, so that content is prefetched in the hours with less traffic. We also incorporate other contextual information, such as the viewership within the media service, to ensure performance optimization. Our variations are experimentally proven to contribute toward maximization of CDNs' performance and minimization of content replication costs. © 2015 IEEE. | en |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en |
dc.source | Proceedings - 2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing, UCC 2015 | en |
dc.source | 8th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2015 | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84965007410&doi=10.1109%2fUCC.2015.48&partnerID=40&md5=51d1af36ca57b28527ad8818a6342b76 | |
dc.subject | Websites | en |
dc.subject | Distributed computer systems | en |
dc.subject | Multimedia services | en |
dc.subject | Vehicle actuated signals | en |
dc.subject | Social networking (online) | en |
dc.subject | Web services | en |
dc.subject | Cloud applications | en |
dc.subject | Cloud computing | en |
dc.subject | Internet measurement | en |
dc.subject | Internet Measurements | en |
dc.subject | Social Cascading | en |
dc.subject | Social Video Sharing | en |
dc.subject | Twitter | en |
dc.subject | YouTube | en |
dc.subject | Big data | en |
dc.subject | HTTP | en |
dc.subject | Social sciences computing | en |
dc.subject | Big Data and Analytics | en |
dc.subject | Cloud Applications: social networks | en |
dc.subject | Cloud Computing tools | en |
dc.subject | Content delivery network | en |
dc.subject | Content Delivery Networks | en |
dc.subject | delivery networks and services | en |
dc.subject | Social videos | en |
dc.subject | Software as a service (SaaS) | en |
dc.title | Socially-Aware Multimedia Content Delivery for the Cloud | en |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.identifier.doi | 10.1109/UCC.2015.48 | |
dc.description.startingpage | 300 | |
dc.description.endingpage | 309 | |
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 | Conference Object | en |
dc.description.notes | <p>Sponsors: Association for Computing Machinery (ACM) | en |
dc.description.notes | IEEE Computer Society | en |
dc.description.notes | Conference code: 119981 | en |
dc.description.notes | Cited By :3</p> | en |
dc.contributor.orcid | Papadopoulos, George Angelos [0000-0001-9250-4916] | |
dc.gnosis.orcid | 0000-0001-9250-4916 | |