Application of Machine Learning Algorithm in Cache Replacement Strategy
Yun Wang · 2021
Nowadays, the traffic in the network increases rapidly, and the network structure is becoming increasingly complex with the rapid development of wireless access technology and mobile devices. Correspondingly, the traditional cache replacement strategy has also been challenged. Since machine learning is flexible and can adapt to the cache requirements of complex and fast transformation, the cache replacement algorithm based on machine learning has considerable excellent performance. In order to cope with more complex and variable cache requirements, scholars have introduced cache replacement algorithm based on machine learning. This paper summarizes the application of machine learning in the field of cache replacement according to the network model, summarizes the role of the algorithm, and puts forward the prediction of the next development direction of machine learning in this field.