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- W1568527690 abstract "The E-MACSC (Enhanced Model for Adaptive Cache Size Control ( ) is a novel approach for dynamic cache l tuning. The aim is to adaptively tune the cache size at runtime to maintain the prescribed hit ratio. It works with the popularity ratio (PR), defined by the standard deviations sampled for the relative popularity profile of the data objects at two successive time points. The changes in the PR value reflect the shifts of users' preference toward certain data objects. The E-MACSC makes use of the Convergence Algorithm (CA), which is an IEPM (Internet End-to-End Performance Measurement ( ) technique that measures the mean of a waveform quickly and accurately. Accuracy of the measurement is independent/insensitive to the waveform pattern because the CA is derived from the Central Limit Theorem." @default.
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- W1568527690 date "2006-08-17" @default.
- W1568527690 modified "2023-09-27" @default.
- W1568527690 title "E-MACSC: A novel dynamic cache tuning technique to maintain the hit ratio prescribed by the user in internet applications" @default.
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- W1568527690 doi "https://doi.org/10.1007/1-4020-4761-4_2" @default.
- W1568527690 hasPublicationYear "2006" @default.
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