Browse > Article

HTR(Hard-To-Reach) Code Registration methods and Fuzzy controls using network signaling information in ATM systems  

Chul Soo, Kim (School of information and Computer Engineering, Inje University)
Jung tae, Lee (Department of computer Science, Pusan National University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea TC / v.41, no.9, 2004 , pp. 55-65 More about this Journal
Abstract
ATM was recommended by the ITU and ATM Forum as a means of transportation for B-ISDN. At this time, due to the comprehensive mature of ATM protocol, ATM has been adapted as the backbone system for carrying Internet traffi $c^{[1,2,3,4]}$. But major conceptsregarding the ATN protocol will be used on future technology. This paper presents preventive congestion control mechanisms for detecting HTR(Hard-To Reach) code in ATM systems, in particular for an improved HTR call registration method using network signaling information will discussed. In high speed circuit switching system environments, a fast HTR control mechanism is necessary. We present research results for improving HTR call registration and control methods using network signaling information and fuzzy control mechanisms. We concluded that it showed fast congestion avoidance mechanisms with a fewer system load maximized the efficiency of network resources by restricting ineffective machine attempts.
Keywords
HTR Code; Fuzzy; signaling information in ATM systems;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 ITU-T Rec. I.371, Traffic control and congestion control in B-ISDN, 1998
2 ITU-T Rec. I.610, B-ISDN Operation and Maintenance Principles and Functions, 1998
3 A. Pitsillides, Y.A. Sekercioglu and G.Ramamurthy, Effective Control of Traffic Flow in ATM network Using Fuzzy Explicit Rate Marking (FERM), IEEE J. Selected Areas in Comm., Vol. 15, No.2, 209-225, Feb.1997   DOI   ScienceOn
4 A. Pitsillides, Y.A. Sekercioglu and G.Ramamurthy, Fuzzy backward congestion notification (FBCN) congestion control in asynchronous transfer mode(ATM), IEEE GLOBECOM'95, 1995, 280-285   DOI
5 K. Ramakrishnan and R. Jain, A binary feedback scheme for congestion avoidance in computer networks with a connectionless network layer, ACM SIGCOMM '88, 303-313, Stanford, CA Aug. 1988   DOI
6 M.F. Sheffer and J.S. Kunicki, Fuzzy Adaptive Traffic Enforcement for ATM Networks, MELECON '96, 1047-1050, 1996   DOI
7 K. Sohraby and M. Sidi, On the performance of bursty and correlated sources subject to leaky bucket rate-based access control schemes, INFOCOM .'91, Fol. 1, 426-434, 1991   DOI
8 S. Wang, K. Lee and K. Hong, A predictive link-by-link rate-based flow control and buffer management architecture for ATM networks, JWCC '93, F1-3-1-F1-3-10, Oct. 1993
9 L.A. Zadeh, Outline of a new approach to the analysis of complex systems and decision process, IEEE Tr. Systems, Man, and Cybernetics, Vol. SMC-3, No. 1, 28-44, Jan. 1973
10 LSSGR NTM Network Management section 16, Bellcore
11 Mahnhoon Lee, Chul Soo Kim, Fuzzy HTR code control in ATM network
12 Chul Soo Kim, Comparison of communication mechanisms for B-ISDN charging information ITU-T SG3, Delayed contribution, June, 1999
13 ATM Forum, UNI 4.0, 1997
14 ITU-T Recommendation Q.2931,B-ISDN User-Network Interface Layer3 protocol, 1998
15 R. Jain, Congestion control in computer networks: issues and trends, IEEE Network, Vol.4, No.3, 24-30, May 1990   DOI   ScienceOn
16 W. Kim, ABR traffic control scheme based on periodic rate adaptation, Master thesis, Chungnam Univ., Aug. 1994
17 A. Kwok and McLeod, ATM congestion Control Using A Fuzzy Neural Network, Canadian Conf. on Electrical and Computer Engineering, 814-817, 1996   DOI
18 S. Lee, J Choi and H.Choi, Traffic flow control of broadband network termination for prevention of congestion in ATM networks, 8th JWCC, Dec.1993
19 H. Kwon, A. Tuntiang and G. Pujolle, A simple flow control mechanism in ATM network with end to end transport, INFOCOM '93, Vol.2, 654-661, Mar.1993   DOI
20 S. Lee and H. Choi, Traffic flow control of B-NT for prevention of congestion ia B-ISDN UNI, KICS J., Vol.19, No.6, 1085-1094, June, 1994   과학기술학회마을
21 E.H Mamdani, Application of fuzzy algorithms for control of simple dynamic plant, IEE Proc. Control & Science, Vol.121, No.12, 1585-1588, Dec. 1974
22 W. Matragi and K. Soharaby, Combined reactive/preventive approach for congestion control in ATM networks, ICC '93, Vol.121, No.12, 1585-1588
23 D. McDysan and D. Spohn, ATM theory and applications, McGraw Hill, New York, 1994
24 P. Newman, Traffic Management for ATM local area network, IEEE Comm. Mag., Vol.32, NO.8, 44-50, Aug. 1994   DOI   ScienceOn
25 Chul Soo Kim Rare probability connection call registration method using payload type indication field information for ATM switching system US patent number 5,982.751, Nov. 1999
26 Chul Soo Kim Rare probability connection call registration method for ATM switching system US patent number 5,946,296, Aug. 1999
27 Chul Soo Kim Rare probability connection call registration method using incomplete call causation message for ATM switching system US patent number 5,862,204, Jan. 1999
28 A. Atai and J. Hui, A Rate-Based Feedback Traffic Controller for ATM networks, IEEE ICC'94, New Orleans, 1605-1615, 1994   DOI
29 Chul Soo Kim procede de commande d'appel avec utilization de l'lintervalle d'appel de functions de transfert en mode de transfert asyncrone ATM pendant la surcharge d'un reseau de commutation ATM France patent number 2773030, 1998
30 S. Ahn Concept of data communication, Cheongiksa, 217-237, Mar. 1985
31 C. Chang and R. Cheng, Traffic control in an ATM network using fuzzy set theory, IEEE INFOCOM'94, Vol.40, 1200-1207, 1994   DOI