Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/43058
Title: Regular Article Genetic Algorithm and PID control together for dynamic anticipative marginal buffer management : an effective approach to enhance dependability and performance for distributed mobile object-based real-time computing over the Internet
Authors: Wong, AKY
Lin, WWK
Ip, MTW
Dillon, TS
Keywords: DMORC
Adaptive marginal buffer management
Genetic algorithm
PID control
Objective function
Dependability and performance
Internet
IEPM
Convergence algorithm
Issue Date: 2002
Publisher: Academic Press
Source: Journal of parallel and distributed computing, 2002, v. 62, no. 9, p. 1433-1453 How to cite?
Journal: Journal of parallel and distributed computing 
Abstract: A novel model that combines genetic algorithm (GA) and proportional + integral + derivative (PID) control for adaptive marginal buffer management is proposed here. The goal is to prevent buffer overflow at the receiver side so that message retransmissions that lead to poor system reliability and performance can be eliminated. Marginal buffer control keeps the difference between the buffer length and the queue length continuously within a safety margin Δ, in an anticipative, adaptive manner. At first, we will propose the PID controller and show that it alone can achieve the goal but with some shortcomings. We then propose to trim these shortcomings by the GA objective function {0, Δ}2. The PID control makes use of the micro version of the convergence algorithm, namely, the M2RT, which is an effective internet end-to-end performance measurement (IEPM) method developed by us previously to predict the trend of a distribution. In this case the M2RT, which exists as an independent program object, predicts the dynamic queue length quickly and accurately once invoked by clients. Such predictions enable the GA-augmented PID (GA–PID) to determine whether the buffer length should be increased or decreased adaptively to maintain the safety margin Δ. The GA–PID model was verified and validated in a distributed mobile object-based real-time computing (DMORC) environment, which was implemented over the Internet with the Java-based Aglets mobile agent platform. The preliminary tests confirm that the GA–PID model is indeed an effective solution for achieving dynamic marginal buffer management for DMORC systems.
URI: http://hdl.handle.net/10397/43058
ISSN: 0743-7315
DOI: 10.1006/jpdc.2002.1855
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