Title
Content Media Retrieval using Virtual Network Functions in Multi-access Edge Computing architecture
Abstract
The mobile traffic grows every year. Resource requirements of mobile applications, as processing power and storage capacity, transformed the architecture of cellular networks into a centralized infrastructure, the C-RANs. On the other hand, providing resources close to base stations, as the multi-access edge computing suggests, allows an immediate processing for delay sensitive applications. In this work, we formulate as a mixed integer linear programming the retrieval of media contents through caches acting as virtual network functions. The optimization model minimizes both the media contents' retrieval cost and the number of instantiated virtual network functions. Results show that the characteristic that has most impact on caching is the high throughput between the node that stores the virtual network function images and the virtualized environment that hosts the image, where up to 70% of the requests are satisfied. When caches have low storage capacity and incurs high transferring delay cost for deployment, the most important characteristic is the throughput distribution between the virtualized environment and the base stations.
Year
DOI
Venue
2022
10.1002/nem.2208
INTERNATIONAL JOURNAL OF NETWORK MANAGEMENT
Keywords
DocType
Volume
caching, mobile networks, virtual network functions
Journal
32
Issue
ISSN
Citations 
5
1055-7148
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Ian Vilar Bastos132.42
Igor Monteiro Moraes200.34
Thi-Mai-Trang Nguyen300.34
Guy Pujolle42015267.64