Title :
Quantitative Availability Prediction for a High Availability Messaging System
Author :
Yang, Xiaohu ; Chen, Wei
Author_Institution :
Dept. of Comput. Sci. & Eng., Zhejiang Univ., Hangzhou
Abstract :
How to predict the high availability (HA) using quantitative approach becomes important during system design phase. Stochastic reward nets (SRN) is used to model the behavior of the system. In this paper, we will adopt SRN as an analytic model to compute several interesting output measures that characterize availability features of a HA messaging system. This messaging service is the core part of a 24-hour non-stop safety-critical financial service. During the system design phase, this prediction model is used to provide useful information for aiding special technology choosing.
Keywords :
financial data processing; security of data; stochastic processes; high availability messaging system; messaging service; quantitative availability prediction; safety-critical financial service; stochastic reward nets; system design; Availability; Computer architecture; Computer science; Design engineering; Heart beat; Network servers; Petri nets; Predictive models; Stochastic systems; Virtual private networks;
Conference_Titel :
TENCON 2005 2005 IEEE Region 10
Conference_Location :
Melbourne, Qld.
Print_ISBN :
0-7803-9311-2
Electronic_ISBN :
0-7803-9312-0
DOI :
10.1109/TENCON.2005.300962
