AN ANALYSIS OF EMERGING BEHAVIORS IN LARGE-SCALE QUEUEING-BASED SERVICE SYSTEMS USING AGENT-BASED SIMULATION

被引：6

作者：

Chan, Wai Kin ^{[1
]}

机构：

[1] Rensselaer Polytech Inst, Dept Decis Sci & Engn Syst, Troy, NY 12180 USA

来源：

2008 WINTER SIMULATION CONFERENCE, VOLS 1-5 | 2008年

关键词：

D O I：

10.1109/WSC.2008.4736151

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

This paper considers a large-scale service system consisting of a number of service areas (cells). Each cell contains a queueing model that operates continuously and independently from the queueing models in other cells. Each cell changes its state between alive and dead based on certain rules that depend on the queueing status of its own queue, the neighboring queues, and the whole community, while satisfying a constraint on the number of live cells in a neighborhood. The objective is to examine emerging behaviors from the interactions of the cells under various rules. Chaotic, deterministic, and in-between emerging behaviors are presented.

引用

页码：872 / 878

页数：7

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