Title | ||
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A Resource Management Model for Distributed Multi-Task Applications in Fog Computing Networks |
Abstract | ||
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While the effectiveness of fog computing in Internet of Things (IoT) applications has been widely investigated in various studies, there is still a lack of techniques to efficiently utilize the computing resources in a fog platform to maximize Quality of Service (QoS) and Quality of Experience (QoE). This paper presents a resource management model for service placement of distributed multitasking applications in fog computing through mathematical modeling of such a platform. Our main design goal is to reduce communication between the candidate nodes hosting different task modules of an application by selecting a group of nodes near each other and as close to the source of the data as possible. We propose a method based on a greedy principle that demonstrates a highly scalable and near-optimal performance for resource mapping problems for multitasking applications in fog computing networks. Compared with the commercial Gurobi optimizer, our proposed algorithm provides a mapping solution that obtains 93% of the performance, attributed to a higher communication cost, while outperforming the reference method in terms of the computing speed, cutting the mapping execution time to less than 1% of that of the Gurobi optimizer. |
Year | DOI | Venue |
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2021 | 10.1109/ACCESS.2021.3127355 | IEEE ACCESS |
Keywords | DocType | Volume |
Edge computing, Cloud computing, Task analysis, Resource management, Costs, Computational modeling, Delays, Greedy, fog computing, Internet of Things, modelling, optimization, resource management | Journal | 9 |
ISSN | Citations | PageRank |
2169-3536 | 0 | 0.34 |
References | Authors | |
0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Farhoud Hosseinpour | 1 | 0 | 0.34 |
Ahmad Naebi | 2 | 0 | 0.34 |
Seppo Virtanen | 3 | 0 | 0.34 |
Tapio Pahikkala | 4 | 0 | 0.34 |
Hannu Tenhunen | 5 | 1709 | 190.57 |
Juha Plosila | 6 | 0 | 0.34 |