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- W1999642015 abstract "Aiming to solve the performance-degradation problem when multiple computing nodes are in use in mission-critical batch systems (so-called “grid-batch” systems), a new performance-prediction method that focuses on metadata management for file input/output (I/O) control and performance degradation in case of concurrent I/O streams is proposed. To enhance the accuracy of the prediction, this I/O-performance prediction method models metadata management time as a function of number of files and models performance degradation as a probabilistic function of sequential I/O throughput and random I/O throughput. According to an evaluation of the proposed method, the difference between actual and estimated execution time is 14.0%. In contrast, as for the storage/network-based conventional method, the difference is 36.5%. These results demonstrate that the target prediction error, namely, within 20%, was accomplished with the proposed method, which can therefore be considered effective in predicting the performance of grid-batch systems." @default.
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- W1999642015 date "2011-01-01" @default.
- W1999642015 modified "2023-09-24" @default.
- W1999642015 title "I/O-Performance Prediction Method for Mission-critical Grid-batch Processing" @default.
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- W1999642015 doi "https://doi.org/10.1016/j.procs.2011.04.237" @default.
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