Paper Info
Title
Enabling a Mobility Prediction-Aware Follow-Me Cloud Model
Abstract
The location of data centres is crucial when mobile network operators are moving towards cloudified mobile networks to optimize resource utilization and to improve performance of services. Quality of Experience (QoE) can be enhanced in terms of content access latency, by placing user content at locations where they will be present in the future. The Follow-Me Cloud (FMC) concept aims at optimising operations of moving Mobile Network Operators Services towards cloudified environments, where Information Centric Networking (ICN) and the appropriate content migration policies are of paramount importance. However, several factors need to be considered, including user movements and mobility prediction (MP), content popularity, and migration. This paper addresses all these aspects by implementing a fully integrated multi-criteria FMC and mobility prediction mechanisms (MP-FMC) on a cloud infrastructure. Experimental evaluation shows that MP-FMC can be orchestrated on-demand within a reasonable time frame, and it could deliver ≈ 33% improvement of content retrieval time.
Year
DOI
Venue
2016
10.1109/LCN.2016.77
2016 IEEE 41st Conference on Local Computer Networks (LCN)
Keywords
Field
DocType
Follow-Me Cloud,Content Migration,Mobility Prediction as a Service,Information Centric Networking,Mobile Cloud Networking
Mobile computing,Computer science,Latency (engineering),Computer network,Quality of experience,Operator (computer programming),Information-centric networking,Cellular network,Mobile telephony,Distributed computing,Cloud computing
Conference
ISSN
ISBN
Citations 
0742-1303
978-1-5090-2055-3
1
PageRank 
References 
Authors
0.41
14
10
Name
Order
Citations
PageRank
Bruno Sousa112713.27
Zhongliang Zhao2102.70
Morteza Karimzadeh3233.33
David Palma4728.58
Vitor Fonseca5202.19
Paulo Simoes610716.18
Torsten Braun71587190.59
Hans van den Berg816925.01
Aiko Pras91095112.07
Luís Cordeiro10678.28