A survey of classification cache replacement techniques in the contentcentric networking domain

Abstract

Content-Centric Networking (CCN) is an innovative approach that emphasizes content. A key strategy in CCN for spreading data across the network is in-network caching. Effective caching methods, including content placement and removal tactics, enhance the use of network resources. Cache replacement, also known as content eviction policies, is essential for maximizing CCN's efficiency. When cache storage is full, some content must be removed to make room for new items due to limited storage space. Recently, several advanced replacement strategies have been developed to determine the most suitable content for eviction. This study categorizes the latest cache replacement strategies into various groups such as static, space scarcity, content update, centralized, energy-efficient, weighted, adaptive, and based on dynamic popularity. These categories are based on the approaches suggested in previous research. Additionally, this paper provides a critical analysis of existing methods and suggests future research directions. To the best of our knowledge, this is the most up-to-date and comprehensive review available on this topic.