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Massive Files Prefetching Model Based on LSTM Neural Network with cache transaction Strategy

Computers, Materials & Continua 2020年第5期63卷 979-993页

作者： Dongjie Zhu Haiwen Du Yundong Sun Xiaofang Li Rongning Qu Hao Hu Shuangshuang Dong Helen Min Zhou Ning Cao School of Computer Science and Technology Harbin Institute of TechnologyWeihai264209China School of Science Harbin Institute of TechnologyWeihai264209China School of Engineering Manukau Institute of TechnologyAuckland2241New Zealand College of Mathematics and Computer Science Xinyu UniversityXinyu338004China College of Information Engineering Sanming UniversitySanming365004China School of Astronautics Harbin Institute of TechnologyHarbin150001China

In distributed storage systems,file access efficiency has an important impact on the real-time nature of information *** a popular approach to improve file accessing efficiency,prefetching model can fetches data before it is needed according to the file access pattern,which can reduce the I/O waiting time and increase the system ***,prefetching model needs to mine the degree of association between files to ensure the accuracy of *** the massive small file situation,the sheer volume of files poses a challenge to the efficiency and accuracy of relevance *** this paper,we propose a massive files prefetching model based on LSTM neural network with cache transaction strategy to improve file access ***,we propose a file clustering algorithm based on temporal locality and spatial locality to reduce the computational ***,we propose a definition of cache transaction according to files occurrence in cache instead of time-offset distance based methods to extract file block feature ***,we innovatively propose a file access prediction algorithm based on LSTM neural network which predict the file that have high possibility to be *** show that compared with the traditional LRU and the plain grouping methods,the proposed model notably increase the cache hit rate and effectively reduces the I/O wait time.

关键词： Massive files prefetching model cache transaction distributed storage systems LSTM neural network

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