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Task Placement on Fog Computing Made Efficient for IoT Application Provision
Joint Authors
Pham, Tran Vu
Tran-Minh, Quang
Nguyen, Duy Tai
Le, Van An
Nguyen, Duc Hai
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-01-10
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Information Technology and Computer Science
Abstract EN
Fog computing is one of the promising technologies for realizing global-scale Internet of Things (IoT) applications as it allows moving compute and storage resources closer to IoT devices, where data is generated, in order to solve the limitations in cloud-based technologies such as communication delay, network load, energy consumption, and operational cost.
However, this technology is still in its infancy stage containing essential research challenges.
For instance, what is a suitable fog computing scheme where effective service provision models can be deployed is still an open question.
This paper proposes a novel multitier fog computing architecture that supports IoT service provisioning.
Concretely, a solid service placement mechanism that optimizes service decentralization on fog landscape leveraging context-aware information such as location, response time, and resource consumption of services has been devised.
The proposed approach optimally utilizes virtual resources available on the network edges to improve the performance of IoT services in terms of response time, energy, and cost reduction.
The experimental results from both simulated data and use cases from service deployments in real-world applications, namely, the intelligent transportation system (ITS) in Ho Chi Minh City, show the effectiveness of the proposed solution in terms of maximizing fog device utilization while reducing latency, energy consumption, network load, and operational cost.
The results confirm the robustness of the proposed scheme revealing its capability to maximize the IoT potential.
American Psychological Association (APA)
Tran-Minh, Quang& Nguyen, Duy Tai& Le, Van An& Nguyen, Duc Hai& Pham, Tran Vu. 2019. Task Placement on Fog Computing Made Efficient for IoT Application Provision. Wireless Communications and Mobile Computing،Vol. 2019, no. 2019, pp.1-17.
https://search.emarefa.net/detail/BIM-1212212
Modern Language Association (MLA)
Tran-Minh, Quang…[et al.]. Task Placement on Fog Computing Made Efficient for IoT Application Provision. Wireless Communications and Mobile Computing No. 2019 (2019), pp.1-17.
https://search.emarefa.net/detail/BIM-1212212
American Medical Association (AMA)
Tran-Minh, Quang& Nguyen, Duy Tai& Le, Van An& Nguyen, Duc Hai& Pham, Tran Vu. Task Placement on Fog Computing Made Efficient for IoT Application Provision. Wireless Communications and Mobile Computing. 2019. Vol. 2019, no. 2019, pp.1-17.
https://search.emarefa.net/detail/BIM-1212212
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1212212