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Modular memory model using state-variable approach

Modular memory model using state-variable approach

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© The Institution of Electrical Engineers
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A simple time-discrete state-variable model is presented for the modular memory system. The concepts of state and output controllability and observability are used to eliminate the memory interference problems. An analysis of the model using the ergodic Markov chain and the Cayley-Hamilton theorem is provided.

Inspec keywords: control system analysis; observability; controllability; Markov processes; storage management; discrete time systems

Other keywords: memory management; ergodic Markov chain; observability; state-variable model; Cayley-Hamilton theorem; output controllability; control system analysis; modular memory system

Subjects: File organisation; Control system analysis and synthesis methods; Operating systems; Discrete control systems

References

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      • E.G. Coffman . A simple probability model yielding performance bounds for modular memory systems. IEEE Trans. , 86 - 89
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      • B.C. Kuo . (1991) , Automatic control systems.
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      • R.P. Roesser . A discrete state-space model for linear image processing. IEEE Trans. , 1 - 10
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      • H. Stark , J.W. Woods . (1986) , Probability, random processes and estimation theory for engineers.
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      • K. Hwang , F.A. Briggs . (1984) , Computer architecture and parallel processing.
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