Using discrete simulation modeling to study large-scale system reliability/availability
Computers and Operations Research
Object-Oriented Discrete-Event Simulation with Java: A Practical Introduction
Object-Oriented Discrete-Event Simulation with Java: A Practical Introduction
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Software for uniform random number generation: distinguishing the good and the bad
Proceedings of the 33nd conference on Winter simulation
Reliability of Computer Systems and Networks: Fault Tolerance,Analysis,and Design
Reliability of Computer Systems and Networks: Fault Tolerance,Analysis,and Design
WSC '05 Proceedings of the 37th conference on Winter simulation
SAEDES++: determining complex system availability via simulation
WSC '05 Proceedings of the 37th conference on Winter simulation
Big Java
Winter Simulation Conference
Reliability and availability issues in large-scale distributed systems
Proceedings of the Winter Simulation Conference
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Nowadays, many companies rely on computer systems and networks for functions such as order entry, customer support, supply chain management, and employee administration. Therefore, reliability and availability of such systems and networks are becoming critical factors for the present-day enterprise or institution. Nevertheless, the task of determining reliability/availability levels for time-dependent systems and networks at the design stage can be: (a) extremely difficult to perform -mainly due to the system/network complexity, and (b) expensive, both in terms of necessary time and money. In this paper, we present a Java-based software, J-SAEDES, which makes use of discrete-event simulation to: (i) estimate reliability and availability of time-dependent computer systems and networks, (ii) identify those components that play a critical role in the system/network reliability or availability, and (iii) obtain additional information on some system/network performance variables. An application example shows some potential uses of this software.