dc.contributor.author | Pallis, George C. | en |
dc.contributor.author | Vakali, Athena I. | en |
dc.contributor.author | Pokorný, Jaroslav | en |
dc.creator | Pallis, George C. | en |
dc.creator | Vakali, Athena I. | en |
dc.creator | Pokorný, Jaroslav | en |
dc.date.accessioned | 2019-11-13T10:41:37Z | |
dc.date.available | 2019-11-13T10:41:37Z | |
dc.date.issued | 2008 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/54678 | |
dc.description.abstract | Web prefetching is an attractive solution to reduce the network resources consumed by Web services as well as the access latencies perceived by Web users. Unlike Web caching, which exploits the temporal locality, Web prefetching utilizes the spatial locality of Web objects. Specifically, Web prefetching fetches objects that are likely to be accessed in the near future and stores them in advance. In this context, a sophisticated combination of these two techniques may cause significant improvements on the performance of the Web infrastructure. Considering that there have been several caching policies proposed in the past, the challenge is to extend them by using data mining techniques. In this paper, we present a clustering-based prefetching scheme where a graph-based clustering algorithm identifies clusters of "correlated" Web pages based on the users' access patterns. This scheme can be integrated easily into a Web proxy server, improving its performance. Through a simulation environment, using a real data set, we show that the proposed integrated framework is robust and effective in improving the performance of the Web caching environment. © 2007 Elsevier Ltd. All rights reserved. | en |
dc.source | Computers and Electrical Engineering | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-42649105796&doi=10.1016%2fj.compeleceng.2007.04.002&partnerID=40&md5=856b54a466ab590714fadc135bc87054 | |
dc.subject | World Wide Web | en |
dc.subject | Graph theory | en |
dc.subject | Network management | en |
dc.subject | Clustering algorithms | en |
dc.subject | Database systems | en |
dc.subject | Data mining | en |
dc.subject | Web services | en |
dc.subject | User interfaces | en |
dc.subject | Access control | en |
dc.subject | Web caching | en |
dc.subject | Web data clustering | en |
dc.subject | Clustering based prefetching | en |
dc.subject | Spatial locality | en |
dc.subject | Users access patterns | en |
dc.subject | Users' access patterns | en |
dc.subject | Web infrastructure | en |
dc.subject | Web prefetching | en |
dc.title | A clustering-based prefetching scheme on a Web cache environment | en |
dc.type | info:eu-repo/semantics/article | |
dc.identifier.doi | 10.1016/j.compeleceng.2007.04.002 | |
dc.description.volume | 34 | |
dc.description.issue | 4 | |
dc.description.startingpage | 309 | |
dc.description.endingpage | 323 | |
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 :52</p> | en |
dc.source.abbreviation | Comput.Electr.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 | |