Computer simulation in management science
Computer simulation in management science
Modelling of computer and communication systems
Modelling of computer and communication systems
Implementing client/server computing: a strategic perspective
Implementing client/server computing: a strategic perspective
Business data communications (2nd ed.)
Business data communications (2nd ed.)
Capacity and performance analysis of computer systems
WSC '94 Proceedings of the 26th conference on Winter simulation
Simulation of communications networks
WSC '94 Proceedings of the 26th conference on Winter simulation
Simulation of heterogeneous networks
WSC '94 Proceedings of the 26th conference on Winter simulation
Modeling description in the INSYDE simulator for evaluating large-scale computer system performance
WSC '94 Proceedings of the 26th conference on Winter simulation
Performance modeling study of a client/server system architecture
WSC '94 Proceedings of the 26th conference on Winter simulation
Simulation in support of software development
WSC '93 Proceedings of the 25th conference on Winter simulation
Performance Engineering of Software Systems
Performance Engineering of Software Systems
Distributed System Environment: Some Practical Approaches
Distributed System Environment: Some Practical Approaches
Real World Client/Server
Solving Business Problems by Simulation
Solving Business Problems by Simulation
The art of simulation
CMU-WEB: a conceptual model with metrics for testing and designing usability in Web applications
Advanced topics in database research vol. 1
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Simulation is used for many purposes: for example, to analyse a complex system, to visualise the functioning of a system, and to optimise or tune a system. While there is no limitation on the use of simulation, the general consensus is that an analytical solution, if one is possible, is always to be preferred to simulation as a methodology. In the field of information systems, client-server models exhibit a degree of complexity and richness not amenable to easy analytical solutions, except for some specific algorithms useful in limited contexts. Simulation could, therefore, be a good strategy to analyse the client-server systems and help in better implementation of feasible solutions. This paper examines the current state of client-server models and use of simulation in dealing with the problems encountered. The paper then compares the seven-layer OSI model for communications architecture and recommends that a similarly layered approach is likely to prove useful in simulating client-server systems. In the process, the paper also points out that the simulation models bring into a sharp focus the importance of software metrics, an area of vital importance in software development.