Web proxy cache replacement scheme based on back-propagation neural network
Journal of Systems and Software
Training of NNPCR-2: an improved neural network proxy cache replacement strategy
SPECTS'09 Proceedings of the 12th international conference on Symposium on Performance Evaluation of Computer & Telecommunication Systems
An adaptive neural network-based method for tile replacement in a web map cache
ICCSA'11 Proceedings of the 2011 international conference on Computational science and its applications - Volume Part I
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In this paper, we propose a new strategy (KORA-2) for the replacement of lines in cache memories. The algorithm is efficient and easily implementable. It is basically an extension of our previous work presented in [1]-[5]. Key to our algorithm is to identify and discard inactive lines relatively quickly as opposed to the conventional replacement algorithms. Trace-driven simulations were performed for 42 different cache configurations using benchmark programs from SPEC92 (Standard performance Evaluation Corporation) benchmark suites. Simulation results illustrate that our algorithm can provide a peak value of approximately 8.71% improvement in the miss ratio over the best performing conventional algorithm (LRU) for the selected benchmark trace files generated from SPEC programs. This translates to a savings of hundreds of thousands of misses for typical programs referencing well over 100 million addresses.