TY - JOUR
T1 - ICN with edge for 5G
T2 - Exploiting in-network caching in ICN-based edge computing for 5G networks
AU - Ullah, Rehmat
AU - Rehman, Muhammad Atif Ur
AU - Naeem, Muhammad Ali
AU - Kim, Byung Seo
AU - Mastorakis, Spyridon
N1 - Publisher Copyright:
© 2020 Elsevier B.V.
PY - 2020/5/4
Y1 - 2020/5/4
N2 - In recent years, edge computing and Information Centric Networking (ICN) have been introduced as emerging technologies for distributing content closer to the end users. The former promises to increase the performance of several applications by using data locality and relieve the core network by addressing the increasing bandwidth demands caused by increased data volume. The latter makes the content directly addressable and routable in the network. Enabling ICN with edge computing in Radio Access Network (RAN) can improve the efficiency of content distribution and communication performance by reducing the distance between users and services. In line with this assertion, in this paper, we propose an ICN-capable RAN architecture for 5G edge computing environments that offers device to device communication and ICN application layer support at base stations. Moreover, ICN and edge caching is only useful for static content-requests for dynamic content have to traverse the core network increasing the latency in 5G networks. To address this issue, we provide a content prefetching strategy based on ICN naming. Experimental results show that our proposed scheme results in high cache hit ratios and lower delays compared to conventional edge systems and prior work on ICN for 5G.
AB - In recent years, edge computing and Information Centric Networking (ICN) have been introduced as emerging technologies for distributing content closer to the end users. The former promises to increase the performance of several applications by using data locality and relieve the core network by addressing the increasing bandwidth demands caused by increased data volume. The latter makes the content directly addressable and routable in the network. Enabling ICN with edge computing in Radio Access Network (RAN) can improve the efficiency of content distribution and communication performance by reducing the distance between users and services. In line with this assertion, in this paper, we propose an ICN-capable RAN architecture for 5G edge computing environments that offers device to device communication and ICN application layer support at base stations. Moreover, ICN and edge caching is only useful for static content-requests for dynamic content have to traverse the core network increasing the latency in 5G networks. To address this issue, we provide a content prefetching strategy based on ICN naming. Experimental results show that our proposed scheme results in high cache hit ratios and lower delays compared to conventional edge systems and prior work on ICN for 5G.
KW - 5G
KW - Backhaul traffic reduction
KW - Content popularity
KW - Device to device communication
KW - Future networks
KW - Information-centric networking
KW - Mobile edge caching
KW - Radio access network
UR - http://www.scopus.com/inward/record.url?scp=85084171752&partnerID=8YFLogxK
U2 - 10.1016/j.future.2020.04.033
DO - 10.1016/j.future.2020.04.033
M3 - Article
AN - SCOPUS:85084171752
SN - 0167-739X
VL - 111
SP - 159
EP - 174
JO - Future Generation Computer Systems
JF - Future Generation Computer Systems
ER -