The Fog Balancing: Load Distribution for Small Cell Cloud Computing

In 5G future wireless networks, the (ultra)-dense deployment of radio access points is a key drive for satisfying the increase of traffic demand and improving perceived users' quality. (Ultra)-dense deployment combined with capillary edge cloud, the fog, leads the way for optimization of users&...

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Bibliographic Details
Published in2015 IEEE 81st Vehicular Technology Conference (VTC Spring) pp. 1 - 6
Main Authors Oueis, Jessica, Strinati, Emilio Calvanese, Barbarossa, Sergio
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2015
Subjects
Clustering algorithms
Measurement
Mobile communication
Optimization
Power demand
Processor scheduling
Resource management
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Summary:In 5G future wireless networks, the (ultra)-dense deployment of radio access points is a key drive for satisfying the increase of traffic demand and improving perceived users' quality. (Ultra)-dense deployment combined with capillary edge cloud, the fog, leads the way for optimization of users' Quality of Experience (QoE) and network performance. In this paper, we focus on improving users' QoE by addressing the issue of load balancing in fog computing. In this paper, we consider the challenging case of multiple users requiring computation offloading, where all requests should be processed by local computation clusters resources. We propose a low complexity small cell clusters establishment and resources management customizable algorithm for fog clustering. Our simulation results show that the proposed algorithm yields high users' satisfaction percentage of a minimum of 90% for up to 4 users per small cell, moderate power consumption, and/or high latency gain.
ISSN:1550-2252
DOI:10.1109/VTCSpring.2015.7146129