Open AccessA service caching method for mobile edge computing
Author(s) -
Xiaojun Wu,
Yong Wang,
Sheng Yuan,
Peiru Xie
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2005/1/012060
Subject(s) - computer science , cache , cloud computing , computer network , cache algorithms , edge computing , enhanced data rates for gsm evolution , edge device , distributed computing , mobile edge computing , smart cache , service (business) , key (lock) , latency (audio) , cpu cache , operating system , telecommunications , economy , economics
Mobile Edge Computing (MEC) is considered as a key technology to support 5G networks. It can push cloud computing functions to the edge of the network, and achieve the purpose of reducing latency and reducing energy consumption through computing offloading and edge caching. In the MEC system, by caching computing services from the cloud center to the network edge, MEC can provide users with more services, and also be able to make greater use of network resources and improve system performance. However, which services to cache at edge nodes and how to cache these services have become an important challenge of the research. In order to solve the aforementioned problems, in this paper, we analyze the popularity of each cached object firstly, and propose a novel service caching algorithm, which aims to reduce system delay and improve resource utilization. In addition, we design a novel cache replacement algorithm that successfully predict future requests by analyzing historical data, thereby greatly improves the cache hit rate. Finally, experiments prove that our algorithms have greatly improved system performance and hit rate.