Mobile edge computing: cost-efficient content delivery in resource-constrained mobile computing environment
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Date
2019
Journal Title
Journal ISSN
Volume Title
Publisher
International Journal of Mobile Computing and Multimedia Communications
Abstract
The overwhelming growth of resource-intensive and latency-sensitive applications trigger challenges
in legacy systems of mobile cloud computing (MCC) architecture. Such challenges include congestion
in the backhaul link, high latency, inefficient bandwidth usage, insufficient performance, and quality
of service (QoS) metrics. The objective of this study was to find out the cost-efficient design that
maximizes resource utilization at the edge of the mobile network which in return minimizes the task
processing costs. Thus, this study proposes a cooperative mobile edge computing (coopMEC) to
address the aforementioned challenges in MCC architecture. Also, in the proposed approach, resource-
intensive jobs can be unloaded from users’ equipment to MEC layer which is potential for enhancing
performance in resource-constrained mobile devices. The simulation results demonstrate the potential
gain from the proposed approach in terms of reducing response delay and resource consumption. This,
in turn, improves performance, QoS, and guarantees cost-effectiveness in meeting users’ demands.
Description
Journal article
Keywords
Big-data-as-a-Service, Cloud computing, Content delivery, Mobile-edge computing, Quality of service, Resource-constraint