dc.contributor.author | Vasilakos, Athanasios V. | en |
dc.contributor.author | Ricudis, C. | en |
dc.contributor.author | Anagnostakis, Kostas G. | en |
dc.contributor.author | Pedrycz, W. | en |
dc.contributor.author | Pitsillides, Andreas | en |
dc.contributor.editor | Anon | en |
dc.creator | Vasilakos, Athanasios V. | en |
dc.creator | Ricudis, C. | en |
dc.creator | Anagnostakis, Kostas G. | en |
dc.creator | Pedrycz, W. | en |
dc.creator | Pitsillides, Andreas | en |
dc.date.accessioned | 2019-11-13T10:42:56Z | |
dc.date.available | 2019-11-13T10:42:56Z | |
dc.date.issued | 1998 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/55128 | |
dc.description.abstract | We present an application of evolutionary-fuzzy prediction in inter-domain routing of broadband network connections with Quality of Services requirements in the case of an integrated ATM and SDH networking architecture. The higher-layer nature of inter-domain routing requires to review the whole routing process in order to maximize performance at low decision making cost, a clear case for fuzzy-set logic based algorithms. In order to probabilistically avoid shortage of resources, besides effectively computing the feasible paths for an incoming connection request, under uncertainty, these paths should be compared in terms of the negative impact in resource supply which may be caused by other connections. To do this, besides enriching the protocol with vectors of per-class shadow cost metrics, quantized using fuzzy-set theory, we used a subset-interactive autoregressive time-series predictor which is based on fuzzy measures to evaluate path costs under supply metrics that change over time. Moreover, as the connections we are dealing with are semi-permanent, we must take into account the connections lifetime. The complete system is part of the MISA Management of Integrated SDH and ATM network architecture and will be implemented and evaluated in the global broadband connection service of the pan-European test-bed. | en |
dc.publisher | IEEE | en |
dc.source | IEEE International Conference on Fuzzy Systems | en |
dc.source | Proceedings of the 1998 IEEE International Conference on Fuzzy Systems,. Part 2 (of 2) | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-0031637838&partnerID=40&md5=4ed06ab6d2ff0764b8b4d609a0fb4a09 | |
dc.subject | Regression analysis | en |
dc.subject | Decision making | en |
dc.subject | Telecommunication services | en |
dc.subject | Algorithms | en |
dc.subject | Computer architecture | en |
dc.subject | Probability | en |
dc.subject | Broadband networks | en |
dc.subject | Vectors | en |
dc.subject | Network protocols | en |
dc.subject | Fuzzy sets | en |
dc.subject | Digital communication systems | en |
dc.subject | Time series analysis | en |
dc.subject | Asynchronous transfer mode | en |
dc.subject | Inter-domain routing | en |
dc.subject | Subset-interactive autoregressive time-series predictors | en |
dc.subject | Synchronous digital hierarchy networks | en |
dc.title | Evolutionary-fuzzy prediction for strategic QoS routing in broadband networks | en |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.description.volume | 2 | |
dc.description.startingpage | 1488 | |
dc.description.endingpage | 1493 | |
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: IEEE | en |
dc.description.notes | Conference code: 48895 | en |
dc.description.notes | Cited By :49</p> | en |
dc.contributor.orcid | Pitsillides, Andreas [0000-0001-5072-2851] | |
dc.gnosis.orcid | 0000-0001-5072-2851 | |