A framework for performance optimisation at software architecture level
| Autor: | Datong Xie, Li Song, Peng Ye, Youcong Ni, Ruliang Xiao, Xin Du |
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| Rok vydání: | 2016 |
| Předmět: |
Mathematical optimization
Sequence General Computer Science Computer science Process (engineering) media_common.quotation_subject 020207 software engineering Software performance testing 02 engineering and technology Space (commercial competition) computer.software_genre 01 natural sciences 010104 statistics & probability 0202 electrical engineering electronic engineering information engineering Quality (business) Data mining 0101 mathematics Electrical and Electronic Engineering Performance improvement Architecture Software architecture computer media_common |
| Zdroj: | International Journal of Wireless and Mobile Computing. 10:42 |
| ISSN: | 1741-1092 1741-1084 |
| DOI: | 10.1504/ijwmc.2016.075231 |
| Popis: | Architecture-based software performance optimisation can significantly not only save time but also reduce cost. A few rule-based performance optimisation approaches at software architecture level have been proposed in recent years. However, the count and the order of each rule usage in the optimisation process have not been fully considered in these approaches. Consequently, the search space for performance improvement is limited so that the optimal solution is hard to find out. Aiming at this problem, firstly, rule-based software performance optimisation is abstracted into a mathematical model called RPOM. The mathematical relation between usage of rules and optimal solution in performance improvement space is precisely characterised in the RPOM. Furthermore, we design a rule sequence execution framework named RSEF which can solve RPOM model. The result of this paper will help those rule-based software performance optimisation approaches to search the larger space in order to improve the quality of optimisation. |
| Databáze: | OpenAIRE |
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