Software performance optimization based on constrained GSA

Software Performance Engineering (SPE) in the early life cycle of software development (software modeling) is very useful and cost-effective but does not guide the software architect through how to improve the design. Computing the least response time by controlling utilization and cost is a constra...

Full description

Saved in:
Bibliographic Details
Published in2012 16th CSI International Symposium on Artificial Intelligence and Signal Processing pp. 134 - 139
Main Authors Amoozegar, M., Nezamabadi-pour, H.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2012
Subjects
Algorithm design and analysis
constrained optimization
Gravitational serach algorithm
Optimization
Servers
Software
Software algorithms
Software performance engineering
Time factors
Unified modeling language
Online AccessGet full text
ISBN9781467314787
1467314781
DOI10.1109/AISP.2012.6313732

Cover

More Information
Summary:Software Performance Engineering (SPE) in the early life cycle of software development (software modeling) is very useful and cost-effective but does not guide the software architect through how to improve the design. Computing the least response time by controlling utilization and cost is a constrained optimization problem. This paper presents a constrained optimization method based on Gravitational Search Algorithm (GSA) for exploring the software design space automatically and proposes the best configuration in terms of performance evaluation. Presented method is compared with constrained PSO which is one of famous optimization algorithms. Obtained results confirm the efficiency of proposed method.
ISBN:9781467314787
1467314781
DOI:10.1109/AISP.2012.6313732