JOURNAL ARTICLE

Network-assisted offloading for mobile cloud applications

Abstract

Data traffic from mobile devices experiences unprecedented growth, which current cellular network capacities cannot sustain. Traffic offloading to other type of networks, such as WiFi, can be used to reduce load in cellular networks. In this paper, we propose a novel solution, which unlike other existing methodologies, implements tight cooperation with the cellular network to optimize traffic offloading. The cellular network provides information about channel usage statistics, user mobility patterns, available resources and other parameters. The offloading decisions aim at optimizing the balance between user application requirements and availability of network resources. The validation results, obtained from NS-3 simulations, confirm effectiveness of the proposed solution in balancing cellular traffic load while ensuring QoS.

Keywords:
Cellular traffic Computer science Cellular network Computer network Quality of service Cloud computing Small cell Mobile computing Distributed computing Traffic generation model

Metrics

21
Cited By
2.51
FWCI (Field Weighted Citation Impact)
25
Refs
0.92
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Green IT and Sustainability
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Caching and Content Delivery
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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