TY - JOUR
T1 - Statistical delay analysis on an ATM switch with self-similar input traffic
AU - Ng, Joseph Kee Yin
AU - Song, Shibin
AU - Zhao, Wei
N1 - Funding Information:
I The work reported in this paper was supported in part by the RGC Earmarked Research Grant under RGC/97-98/54, and by the FRG under FRG/96-97/II-103. ∗Corresponding author. Email: [email protected]. 1Email: [email protected]. Shibin Song is a visiting research scholar in the Department of Computer Science at Hong Kong Baptist University. 2Email: [email protected].
PY - 2000/5/31
Y1 - 2000/5/31
N2 - A self-similar stochastic process was used to characterize the arrival traffic for an asynchronous transfer mode (ATM) switch. With this approach, the statistical delay bound on the worst case cell delay can be determined. The statistical delay analysis provides the methods to determine the statistical delay bound for the network traffic which is more suitable for the connection admission control for an ATM network with different output port controllers. LAN traffic experiments show that the statistical bound is tighter than the delay bound derived from previous methods and stays close to the actual maximum cell delay in an ATM network.
AB - A self-similar stochastic process was used to characterize the arrival traffic for an asynchronous transfer mode (ATM) switch. With this approach, the statistical delay bound on the worst case cell delay can be determined. The statistical delay analysis provides the methods to determine the statistical delay bound for the network traffic which is more suitable for the connection admission control for an ATM network with different output port controllers. LAN traffic experiments show that the statistical bound is tighter than the delay bound derived from previous methods and stays close to the actual maximum cell delay in an ATM network.
UR - http://www.scopus.com/inward/record.url?scp=0033734307&partnerID=8YFLogxK
U2 - 10.1016/S0020-0190(00)00043-0
DO - 10.1016/S0020-0190(00)00043-0
M3 - Journal article
AN - SCOPUS:0033734307
SN - 0020-0190
VL - 74
SP - 163
EP - 173
JO - Information Processing Letters
JF - Information Processing Letters
IS - 3
ER -