Paper Info
Title
MapReduce Processing with 5G networks
Abstract
MapReduce processing, which was originally designed to be executed on a cluster of high-performance servers, is also useful for processing data generated at the edge of a network. To support edge computing, we previously developed an approach to enable processing in embedded computers connected through wired or wireless local area networks in a peer-to-peer manner. Here, we extend our approach to give it with the ability to work 5G networks, which connects nodes at the edge to base stations but not directly nodes. This paper describes the extension and its performance. The extension has several contributions in common with other embedded computing systems for 5G networks.
Year
DOI
Venue
2019
10.23919/ICMU48249.2019.9006631
2019 Twelfth International Conference on Mobile Computing and Ubiquitous Network (ICMU)
Keywords
DocType
ISBN
MapReduce processing,5G,edge computing
Conference
978-1-7281-4226-5
Citations 
PageRank 
References 
0
0.34
8
Authors
1
Name
Order
Citations
PageRank
Ichiro Satoh188296.32