An analytical model for information processing systems
Sheng-Chao Huang, Amrit L. Goel
Abstract
Open-access reader
Sheng-Chao Huang, Amrit L. Goel
Abstract
Open-access reader
Information processing systems are an important sector in the application of computer technology to the fields of on-line data processing and the management of large complicated data bases. With an increase in the number of systems being designed and used, there has been an increasing emphasis on the modeling and performance evaluation of such systems. In Reference 4 Nunamaker presented a procedure for the design and optimization methodology of such systems. In some cases, the evaluation procedure was reduced to the evaluation of file structure and data base organization. Kobayashi gave an algebraic modeling of information structures. In this paper, we carry out the study of mean response time by taking into consideration host processor environment, user characteristics and the data base structure. Total system response time is the main goal of this investigation.
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Information processing systems are an important sector in the application of computer technology to the fields of on-line data processing and the management of large complicated data bases. With an increase in the number of systems being designed and used, there has been an increasing emphasis on the modeling and performance evaluation of such systems. In Reference 4 Nunamaker presented a procedure for the design and optimization methodology of such systems. In some cases, the evaluation procedure was reduced to the evaluation of file structure and data base organization. Kobayashi gave an algebraic modeling of information structures. In this paper, we carry out the study of mean response time by taking into consideration host processor environment, user characteristics and the data base structure. Total system response time is the main goal of this investigation.
Key concepts: Computer science, Information system, Base (topology), Data processing, Carry (investment), Information processing, Data modeling, Systems modeling