This paper discusses the effect and the feasibility of dynamical tuning of operating systems. There are many factors which can be modified dynamically in order to handle jobs with different characteristics and they interact with each other in various ways. Repeated tuning procedure that takes the correlation among these factors into consideration is reported to achieve the improved cost performance of existing computer systems. Many examples including an adaptive multiprogramming scheduler are given. This paper also refers to the influence of the adaptive operating systems over future software architecture and a means of personalization of VLSI architecture.
CITATION STYLE
Ishikawa, C., Sakamura, K., & Maekawa, M. (1982). Dynamic tuning of operating systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 143 LNCS, pp. 119–142). Springer Verlag. https://doi.org/10.1007/3-540-11604-4_51
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