Optimization of buffer overflow probability in Jackson queueing networks using Mamdani fuzzy inferecnce system

Author

Panda, Rama Ranjan ; Reza, Muhammad

Author_Institution

Dept. of Comput. Sci., Nat. Inst. of Sci. & Technol., Berhampur, India

fYear

2014

fDate

9-11 Jan. 2014

Firstpage

92

Lastpage

98

Abstract

In this paper we consider Mamdani fuzzy inference system to study for optimizing the buffer overflow probability in a single M/M/1 queue and two M/M/1 queue in tandem Jackson networks. Mamdani fuzzy inference system is proposed to estimate the service rate for the Jackson queueing network. The arrival rate and the highest overflow level of a particular queue are provided to the Mamdani fuzzy inference system which generates the service rate according to the fuzzy rule base. The arrival rate, the highest overflow level and the new service rate will be used to estimate the buffer overflow in a single M/M/1queueing network then in two queues in tandem queueing network. Simulation results shows that Mamdani fuzzy inference system reduce the buffer overflow probability as compared with the normal estimation of buffer overflow probability.

Keywords

fuzzy reasoning; fuzzy set theory; optimisation; probability; queueing theory; Jackson queueing network; M/M/1queueing network; Mamdani fuzzy inference system; buffer overflow probability; fuzzy rule base; overflow level; service rate; tandem Jackson network; Adaptation models; Analytical models; Computational modeling; Queueing analysis; Jackson Network; Mamdani fuzzy inference system; Rule base; overflow probability;

fLanguage

English

Publisher

ieee

Conference_Titel

Business and Information Management (ICBIM), 2014 2nd International Conference on

Conference_Location

Durgapur

Print_ISBN

978-1-4799-3263-4

Type

conf

DOI

10.1109/ICBIM.2014.6970941

Filename

6970941