DocumentCode :
2569824
Title :
Performability evaluation of EFT systems using expolinomial stochastic models
Author :
Sousa, Erica ; Maciel, Paulo ; Araújo, Carlos
Author_Institution :
Center of Inf., Fed. Univ. of Pernambuco, Recife, Brazil
fYear :
2009
fDate :
11-14 Oct. 2009
Firstpage :
3328
Lastpage :
3333
Abstract :
The performance evaluation of EFT systems has paramount importance for electronic transactions providers, since the computing resources must be efficiently used in order to attain requirements defined in service level agreements (SLA). Among such requirements, we may stress agreements on availability, reliability, scalability and security. In the EFT system, faults can cause severe degradation on system performance, and as a result modeling can lead to incomplete or inaccurate results ignoring the dependability effects on performance. This paper presents an expolinomial stochastic model for evaluating the performance of the EFT system processing and storage infrastructure considering a load variation range. This work also presents a model for evaluating the dependability of the EFT system infrastructures and combines both models (dependability and performance) for evaluating the impact of dependability issues on the system performance. The performability analysis employs a hierarchical decomposition method aiming at reducing the computational effort and avoiding stiffness problems.
Keywords :
EFTS; stochastic processes; transaction processing; EFT system; electronic funds transfer system; electronic transactions provider; expolinomial stochastic model; hierarchical decomposition method; performance evaluation; service level agreement; Availability; Degradation; Load management; Performance analysis; Performance evaluation; Scalability; Security; Stochastic systems; Stress; System performance; Dependability Model; Electronic Funds Transfer System; Expolinomial Stochastic Model; Performability Analysis; Performance Model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location :
San Antonio, TX
ISSN :
1062-922X
Print_ISBN :
978-1-4244-2793-2
Electronic_ISBN :
1062-922X
Type :
conf
DOI :
10.1109/ICSMC.2009.5346203
Filename :
5346203
Link To Document :
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