Workloads are used to estimate and measure system performance, but the results are only as good as the workloads and models being used.
Alan Jay Smith
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Long term file migration: development and evaluation of algorithms
The steady increase in the power and complexity of modern computer systems has encouraged the implementation of automatic file migration systems which move files dynamically between mass storage devices and disk in response to user reference patterns. Using information describing 13 months of user disk data set file references, we develop and evaluate (replacement) algorithms for the selection of files to be moved from disk to mass storage. Our approach is general and demonstrates a general methodology for this type of problem. We find that algorithms based on both the file size and the time since the file was last used work well. The best realizable algorithms tested condition on the empirical distribution of the times between file references. Acceptable results are also obtained by selecting for replacement that file whose size times time to most recent reference is maximal. Comparisons are made with a number of standard algorithms developed for paging, such as Working Set, VMIN, and GOPT. Sufficient information (parameter values, fitted equations) is provided so that our algorithms may be easily implemented on other systems.
Multiprocessor memory organization and memory interference
ture of shared memory in a multiprocessor computer system is examined with particular attention to noninterleaved memory. Alternative memory organizations are compared and it is shown that a home memory organization, in which each processor is associated with one or more memories in which its address space is concentrated, is quite effective in reducing memory interference. Home memory organization is shown to be particularly suited to certain specialized computational problems as well as to possess advantages in terms of interference and reliability for general purpose computation. Results for interleaved memory are drawn from previous work and are used for comparison. Trace-driven simulations are used to verify the conclusions of the analysis.
Interference in multiprocessor computer systems with interleaved memory
This paper analyzes the memory interference caused by several processors simultaneously using several memory modules. Exact results are computed for a simple model of such a system. The limiting value is derived for the relative degree of memory interference as the system size increases. The model of the limiting behavior of the system yields approximate results for the simple model and also suggests that the results are valid for a much larger class of models, including those more nearly like real systems than the simple model. The assumptions and results of the simple model are tested against some measurements of program behavior and simulations of systems using memory references from real programs. The model results provide a good indication of the performance that should be expected from real systems of this type.
Comments on a paper by T.C. Chen and I.T. Ho
Tien Chi Chen and Irving T. Ho in their paper “Storage-Efficient Representation of Decimal Data” [1] present a scheme for the compression of numbers stored in binary coded decimal (BCD) form. Their compression scheme involves coding two or three digits at a time in seven bit or ten bit fields and requires only permutations, deletions, and insertions for coding and decoding. We would like to briefly present some alternatives to their compression method and to discuss the relative advantages of these other methods.
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