A Cache Replacement Policy Based on Multi-Factors for Named Data Networking

作     者：Meiju Yu Ru Li Yuwen Chen 

作者机构：College of Computer ScienceInner Mongolia UniversityHohhot020021China Department of Computer Systems TechnologyNew York City College of Technology-The City University of New YorkBrooklynNY 11201USA 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2020年第65卷第10期

页      面：321-336页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：This research was funded by the National Natural Science Foundation of China(No.61862046) the Inner Mongolia Natural Science Foundation of China under Grant No.2018MS06024 the Research Project of Higher Education School of Inner Mongolia Autonomous Region under Grant NJZY18010 the Inner Mongolia Autonomous Region Science and Technology Achievements Transformation Project(No.CGZH2018124) the CERNET Innovation Project under Grant No.NGII20180626 

主　　题：Cache replacement policy named data networking content popularity freshness energy consumption 

摘      要：Named Data Networking(NDN)is one of the most excellent future Internet architectures and every router in NDN has the capacity of caching contents passing *** greatly reduces network traffic and improves the speed of content distribution and *** order to make full use of the limited caching space in routers,it is an urgent challenge to make an efficient cache replacement ***,the existing cache replacement policies only consider very few factors that affect the cache *** this paper,we present a cache replacement policy based on multi-factors for NDN(CRPM),in which the content with the least cache value is evicted from the caching *** fully analyzes multi-factors that affect the caching performance,puts forward the corresponding calculation methods,and utilize the multi-factors to measure the cache value of ***,a new cache value function is constructed,which makes the content with high value be stored in the router as long as possible,so as to ensure the efficient use of cache *** simulation results show that CPRM can effectively improve cache hit ratio,enhance cache resource utilization,reduce energy consumption and decrease hit distance of content acquisition.