Software performance optimization based on constrained GSA

Author

Amoozegar, Maryam ; Nezamabadi-pour, Hossein

Author_Institution

Sch. of Comput. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran

fYear

2012

fDate

2-3 May 2012

Firstpage

134

Lastpage

139

Abstract

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.

Keywords

search problems; software architecture; software performance evaluation; GSA; SPE; constrained optimization problem; early life cycle; gravitational search algorithm; software design space; software development; software performance engineering; software performance optimization; Algorithm design and analysis; Optimization; Servers; Software; Software algorithms; Time factors; Unified modeling language; Gravitational serach algorithm; Software performance engineering; constrained optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence and Signal Processing (AISP), 2012 16th CSI International Symposium on

Conference_Location

Shiraz, Fars

Print_ISBN

978-1-4673-1478-7

Type

conf

DOI

10.1109/AISP.2012.6313732

Filename

6313732