A fuzzy logic based approach to multipriority control in ATM networks

Catania, Vincenzo; Ficili, G.; Panno, Daniela

doi:10.1016/s0920-5489(99)00002-1

Cited by 5 publications

(5 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In conclusion, the simulation results clearly show that the new fuzzy system outperforms the version proposed in [3], as it rigorously guarantees the CLR RH value, even in heavy load conditions, but does not penalize the increase in throughput.…”

Section: Atm Networkmentioning

confidence: 76%

“…In order to improve the performance as compared with [3], the term set of each input parameter, CLR H , N and DN, has been modi®ed. The membership functions chosen for the fuzzy sets and the fuzzy names used are shown in Figs.…”

Section: Model Of Fuzzy Priority Control Schemementioning

confidence: 99%

“…If there are no low-priority cells waiting, the arriving cell is discarded. Additionally to what was done in [3], the FPC is also compared with an ideal bestthreshold mechanism. The results for the latter were obtained by setting, for each load condition, the most suitable threshold value in a ®xed-threshold mechanism.…”

Section: Atm Networkmentioning

confidence: 99%

“…Different applications expect different service requirements and the deployment of priority algorithms may be a key component in controlling the interaction between different traf®c¯ows [1,2]. This paper describes a fuzzy logic-based priority control mechanism that presents a signi®cant improvement in performance and is more general than the one proposed in [3], as it can be applied to packet-switched networks operating with both ®xed-sized and variable-sized data units, such as an ATM network and the Internet.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

An efficient fuzzy system for traffic management in high-speed packet-switched networks

2001

Self Cite

View full text Add to dashboard Cite

In this paper we present a novel buffer management scheme based on fuzzy logic. We deal with the problem of managing traf®c¯ows with different priorities within the same buffer. The aim is to guarantee the QoS of high-priority traf®c, and at the same time exploit unused buffer resources to accommodate best-effort traf®c in order to maximize the total throughput. The scheme we propose can be applied both to ATM and IP networks. The performance evaluation of the fuzzy priority control scheme shows that it outperforms any static threshold mechanism and, as far as the total throughput is concerned, it is very close to that of the push out mechanism considered in literature as an ideal mechanism. Finally, we address some implementation issues of the control system and propose the design of a new cost-effective VLSI fuzzy processor.

show abstract

Section: Atm Networkmentioning

confidence: 76%

Section: Model Of Fuzzy Priority Control Schemementioning

confidence: 99%

Section: Atm Networkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An efficient fuzzy system for traffic management in high-speed packet-switched networks

2001

Self Cite

View full text Add to dashboard Cite

show abstract

“…Within the quality management area, each technique can perform one or more of the following functional models referring to the selected articles (Al-Kandari et al, 2006, Bergman et al, 2005, Boo et al, 1994, Catania et al, 1999, Ghahfarokhi et al, 2007): Bergman et al, 2005, Boo et al, 1994, Catania et al, 1999, Ghahfarokhi et al, 2007.…”

Section: Classification Framework For Fuzzy Theory Techniques Appliedmentioning

confidence: 99%

Development of an RFID-based quality management system in distributed manufacturing network

Lv¹

View full text Add to dashboard Cite

Lee for her constant help, encouragement and patient guidance. Her insightful comments and suggestions are valuable towards the completion of this dissertation. At the same time, I'm also very grateful to my supervisor, Dr. Mao Jianfeng for his help and support on my last period of PhD study. Furthermore, I would like to express my deepest gratitude and love to my parents and boyfriend as well as friends Jin Xianfei, Lin Danping, Hongzhen et. al. from SMA lab. Their love and support give me courage to defeat difficulties and keep on going ahead. Special thanks to my boyfriend Mr Tu Lei who is also pursuing PhD degree in NTU. It is his support and accompany makes me brave enough to insist on. Thanks for Mr Teo from Case Company located in Singapore with the data provision for my case study.

show abstract

A fuzzy based threshold policy for a single server retrial queue with vacations

Khodadadi

Jolai

2010

Cent Eur J Oper Res

View full text Add to dashboard Cite

In this paper we deal with a single server retrial queue with vacations. The server serves the customers until the system becomes empty, then it takes a vacation. The system consists of two types of costs. The blocking cost is considered whenever a customer is blocked either because of the server is busy or off. There is also a cost each time the server is turned on. The problem is to find an effective policy for turning on the dormant server. We propose a Fuzzy Based Threshold Policy (FBTP) to control the server, substitute for conventional threshold policies. The FBTP is based on four input parameters, an inference stage and it is tuned up using a stochastic List Based Threshold Accepting (LBTA) algorithm. Simulation models are developed to validate the fuzzy controller. Numerical experiments are provided to show that the proposed method is superior to crisp threshold policies.

show abstract

A fuzzy logic based approach to multipriority control in ATM networks

Cited by 5 publications

References 12 publications

An efficient fuzzy system for traffic management in high-speed packet-switched networks

An efficient fuzzy system for traffic management in high-speed packet-switched networks

Development of an RFID-based quality management system in distributed manufacturing network

A fuzzy based threshold policy for a single server retrial queue with vacations

Contact Info

Product

Resources

About