Work

Transient behavior of ATM networks under overloads

Year: 2002

Type: conference-paper

Abstract: We characterize the time-dependent behavior of a typical queuing system that arise in ATM networks under the presence of overloads. The transient queue length distribution and transient cell loss probability are obtained numerically and transient characteristics such as maximum overshoot and relaxation time are used to quantify the effects of congestion periods. A new measure, expected excess loss in overload (EELO) is defined to quantify the effects of overload when compared with the system behavior in the steady-state regime. The basic modeling technology that we use is an extended form of stochastic Petri nets and a software tool called the stochastic Petri net package (SPNP).

Source: IEEE Conference on Computer Communications (INFOCOM)

DOI: 10.1109/infcom.1996.493039

Authors: Chang-Yu Wang, D. Logothetis, K.S. Trivedi, I. Viniotis

Institutions: Duke University, GTE (United States), North Carolina State University

Language: English

Topic: Advanced Queuing Theory Analysis

Subfield: Management Information Systems

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W2172016728

FWCI: 5.275

Cites: 18

Cited by: 38

Related to: 10