dc.contributor.author | Chrysostomou, Chrysostomos | en |
dc.contributor.author | Pitsillides, Andreas | en |
dc.contributor.author | Hadjipollas, George | en |
dc.contributor.author | Polycarpou, Marios M. | en |
dc.contributor.author | Sekercioglu, Y. Ahmet | en |
dc.creator | Chrysostomou, Chrysostomos | en |
dc.creator | Pitsillides, Andreas | en |
dc.creator | Hadjipollas, George | en |
dc.creator | Polycarpou, Marios M. | en |
dc.creator | Sekercioglu, Y. Ahmet | en |
dc.date.accessioned | 2019-11-13T10:39:23Z | |
dc.date.available | 2019-11-13T10:39:23Z | |
dc.date.issued | 2004 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/53769 | |
dc.description.abstract | The provision of quality of service (QoS) in a differentiated services (Diff-Serv) environment requires an adequate differentiation between high-priority/assured and low-priority/best-effort classes of service in the presence of congestion, giving priority/preference to assured-tagged traffic. For this purpose, a new active queue management scheme, implemented within the Diff-Serv framework, is presented that provides congestion control in TCP/IP networks using a fuzzy logic control approach. The proposed fuzzy logic approach for congestion control allows the use of linguistic knowledge to capture the dynamics of nonlinear probability marking functions, uses multiple inputs to capture the dynamic state of the network more accurately, and can offer effective implementation. A simulation study over a wide range of traffic conditions - considering multiple bottleneck links - shows that the fuzzy logic based controller outperforms the Random Early Detection (RED) implementation for DiffServ in terms of link utilization, packet losses, and queue fluctuations and delays. Also, the proposed scheme can offer better differentiation among assured and best-effort traffic, thus it can provide better QoS to different types of data streams, such as TCP/FTP traffic or TCP/Web-like traffic, whilst maintaining high utilization. | en |
dc.source | Proceedings of the IEEE Conference on Decision and Control | en |
dc.source | 2004 43rd IEEE Conference on Decision and Control (CDC) | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-14344259738&partnerID=40&md5=7b96d5fb6b8bda3619936a4ce070123e | |
dc.subject | Internet | en |
dc.subject | Robustness (control systems) | en |
dc.subject | Network protocols | en |
dc.subject | Feedback control | en |
dc.subject | Quality of service | en |
dc.subject | Data processing | en |
dc.subject | Fuzzy sets | en |
dc.subject | Telecommunication traffic | en |
dc.subject | Congestion control (communication) | en |
dc.subject | Active queue management (AQM) | en |
dc.subject | Best-effort traffic | en |
dc.subject | Differentiated services (Diff-Serv) | en |
dc.subject | Random early detection (RED) | en |
dc.title | Congestion control in differentiated services networks using fuzzy logic | en |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.description.volume | 1 | |
dc.description.startingpage | 549 | |
dc.description.endingpage | 556 | |
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 Control Systems Society | en |
dc.description.notes | Conference code: 64355 | en |
dc.description.notes | Cited By :7</p> | en |
dc.contributor.orcid | Pitsillides, Andreas [0000-0001-5072-2851] | |
dc.contributor.orcid | Polycarpou, Marios M. [0000-0001-6495-9171] | |
dc.contributor.orcid | Chrysostomou, Chrysostomos [0000-0002-9287-990X] | |
dc.gnosis.orcid | 0000-0001-5072-2851 | |
dc.gnosis.orcid | 0000-0001-6495-9171 | |
dc.gnosis.orcid | 0000-0002-9287-990X | |