Performance and reliability modeling for a parallel image fusion system

Authors:
T Achalakul;N Wattanapongsakorn
Affiliations:
Department of Computer Engineering King Mongkut's University of Technology Thonburi 91 suksawad 48, Tung-kru, Bangkok 10140, Thailand;Department of Computer Engineering King Mongkut's University of Technology Thonburi 91 suksawad 48, Tung-kru, Bangkok 10140, Thailand
Venue:
Mathematical and Computer Modelling: An International Journal
Year:
2004

Citing 8
Cited 0

A static performance estimator to guide data partitioning decisions

PPOPP '91 Proceedings of the third ACM SIGPLAN symposium on Principles and practice of parallel programming
Principal Components Analysis (PCA)

Computers & Geosciences
Optimization Models for Reliability of Modular Software Systems

IEEE Transactions on Software Engineering - Special issue on software reliability
Multisensor image fusion using the wavelet transform

Graphical Models and Image Processing
Planning Models for Software Reliability and Cost

IEEE Transactions on Software Engineering
The primary-backup approach

Distributed systems (2nd Ed.)
Mathematical Techniques in Multisensor Data Fusion

Mathematical Techniques in Multisensor Data Fusion
Chief: a parallel simulation environment for parallel systems

IPPS '91 Proceedings of the Fifth International Parallel Processing Symposium

Quantified Score

Hi-index	0.98

Visualization

Abstract

This paper presents a novel parallel algorithm for multispectral image fusion called the s-PCT. The algorithm is designed based on a manager-worker threading concept and goes further to use redundancy to achieve fault tolerance. The paper emphasizes asymptotic analysis using analytical models and empirical studies that allow performance to be assessed for a wide variety of typical variations in use. For example, changes to the number of spectra, image resolution, number of processors, degree of redundancy, and reliability. Software reliability concept is studied and applied to the algorithm analysis. The performance and reliability relationship is also defined. The motivation in deriving the performance-reliability model is to assess the impact of changes in technology and problem size associated with different applications, allowing performance-reliability tradeoffs to be assessed. In other words, given a problem size and a reliability constraint, the model can be used to estimate the achievable performance.