dc.contributor.author | Chrysostomou, Chrysostomos | en |
dc.contributor.author | Pitsillides, Andreas | en |
dc.contributor.author | Hadjipollas, George | en |
dc.contributor.author | Sekercioglu, Y. Ahmet | en |
dc.contributor.author | Polycarpou, Marios M. | en |
dc.creator | Chrysostomou, Chrysostomos | en |
dc.creator | Pitsillides, Andreas | en |
dc.creator | Hadjipollas, George | en |
dc.creator | Sekercioglu, Y. Ahmet | en |
dc.creator | Polycarpou, Marios M. | en |
dc.date.accessioned | 2019-11-13T10:39:23Z | |
dc.date.available | 2019-11-13T10:39:23Z | |
dc.date.issued | 2003 | |
dc.identifier.isbn | 0-7695-1961-X | |
dc.identifier.isbn | 978-0-7695-1961-6 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/53771 | |
dc.description.abstract | This paper presents a new active queue management scheme, fuzzy explicit marking (FEM), implemented within the differentiated services (Diffserv) framework to provide the congestion control using a fuzzy logic control approach. Network congestion control remains a critical and high priority issue. The rapid growth of the Internet and increased demand to use the Internet for time-sensitive voice and video applications necessitate the design and utilization of effective congestion control algorithms, especially for new architectures, such as Diffserv. As a result, a number of researchers are now looking at alternatively schemes to TCP congestion control. RED (random early detection) and its variants are one of these alternatives to provide quality of service (QoS) in TCP/IP Diffserv networks. The proposed fuzzy logic approach for congestion control allows the use of linguistic knowledge to capture the dynamics of nonlinear probability marking functions and offer effective implementation, use of multiple inputs to capture the (dynamic) state of the network more accurately, enable finer tuning for packet marking behaviors (either dropping a packet or setting its ECN - explicit congestion notification - bit) for aggravated flows, and thus provide better QoS to different types of data streams, such as TCP/FTP traffic or TCP/Web-like traffic, whilst maintaining high utilization. © 2003 IEEE. | en |
dc.source | Proceedings - IEEE Symposium on Computers and Communications | en |
dc.source | 8th IEEE International Symposium on Computers and Communication, ISCC 2003 | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84883871609&doi=10.1109%2fISCC.2003.1214139&partnerID=40&md5=4708a3388f761f57554f50fe5397f0c3 | |
dc.subject | Internet | en |
dc.subject | Algorithms | en |
dc.subject | Communication | en |
dc.subject | Quality of service | en |
dc.subject | Video signal processing | en |
dc.subject | Routers | en |
dc.subject | Active queue management schemes | en |
dc.subject | Differentiated Services | en |
dc.subject | Differentiated services network | en |
dc.subject | Explicit congestion notification | en |
dc.subject | Fuzzy logic approach | en |
dc.subject | Network congestion control | en |
dc.subject | Random Early Detections | en |
dc.subject | TCP congestion control | en |
dc.title | Fuzzy explicit marking for congestion control in differentiated services networks | en |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.identifier.doi | 10.1109/ISCC.2003.1214139 | |
dc.description.startingpage | 312 | |
dc.description.endingpage | 319 | |
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 Computer Society - Technical Committee on Simulation | en |
dc.description.notes | IEEE Communications Society | en |
dc.description.notes | Conference code: 99372 | en |
dc.description.notes | Cited By :14</p> | en |
dc.contributor.orcid | Polycarpou, Marios M. [0000-0001-6495-9171] | |
dc.contributor.orcid | Pitsillides, Andreas [0000-0001-5072-2851] | |
dc.contributor.orcid | Chrysostomou, Chrysostomos [0000-0002-9287-990X] | |
dc.gnosis.orcid | 0000-0001-6495-9171 | |
dc.gnosis.orcid | 0000-0001-5072-2851 | |
dc.gnosis.orcid | 0000-0002-9287-990X | |