Approximate analysis and measurement of equivalent model for tree connection of web server systems
PDCS '07 Proceedings of the 19th IASTED International Conference on Parallel and Distributed Computing and Systems
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Usually, too many patients or users accessing a medical server can cause congestionand delay. To plan a system's capacity, we propose a queuing network model to estimatethe performance index of a medical information system. First, we measure a set of thesystem response times with respect to the system specification. Second, by using themaximum likelihood function, we find the estimate of an equivalent service rate and thebuffer size of a queue model from the simplified system. Third, with these queuing modelparameters, we can simulate the performance of the medical information system. Then,before the implementation of the medical information system, we can estimate theperformance of this system by means of a typical queuing simulation tool, such as QNAT.