Performance analysis of distributed real-time databases
被引:2
作者:
Fricks, RM
论文数: 0引用数: 0
h-index: 0
机构:
SIMEPAR, BR-80420170 Curitiba, Parana, BrazilSIMEPAR, BR-80420170 Curitiba, Parana, Brazil
Fricks, RM
[1
]
Puliafito, A
论文数: 0引用数: 0
h-index: 0
机构:
SIMEPAR, BR-80420170 Curitiba, Parana, BrazilSIMEPAR, BR-80420170 Curitiba, Parana, Brazil
Puliafito, A
[1
]
Trivedi, KS
论文数: 0引用数: 0
h-index: 0
机构:
SIMEPAR, BR-80420170 Curitiba, Parana, BrazilSIMEPAR, BR-80420170 Curitiba, Parana, Brazil
Trivedi, KS
[1
]
机构:
[1] SIMEPAR, BR-80420170 Curitiba, Parana, Brazil
来源:
IEEE INTERNATIONAL COMPUTER PERFORMANCE AND DEPENDABILITY SYMPOSIUM -PROCEEDINGS
|
1998年
关键词:
D O I:
10.1109/IPDS.1998.707721
中图分类号:
TP3 [计算技术、计算机技术];
学科分类号:
0812 ;
摘要:
In a distributed process control system, information about the behavior of physical processes is usually collected and stored in a real-time database which can be remotely accessed by human operators. In this paper we propose an analytic approach to compute the response time distribution of operator consoles in a distributed process control environment. The technique we develop is based on Markov Regenerative Processes and described with the assistance of Deterministic and Stochastic Petri Nets. We construct exact models for performance analysis of centralized and decentralized database architectures. However, due to limitations on the exact solution, we also propose an approximate solution which is then used to study response time distributions of large systems.