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Journal Article
ElasticFog: Elastic Resource Provisioning in Container-Based Fog Computing
- Authors
- Nguyen Dinh Nguyen, Linh-An Phan, Dae-Heon Park, Sehan Kim, Taehong Kim
- Issue Date
- 2020-10
- Citation
- IEEE Access, v.8, pp.183879-183890
- ISSN
- 2169-3536
- Publisher
- IEEE
- Language
- English
- Type
- Journal Article
- Abstract
- The recent increase in the number of Internet of Things (IoT) devices has led to the generation of a large amount of data. These data are generally processed by cloud servers because of their high scalability and ability to provide resources on demand. However, processing large amounts of data in the cloud is an impractical solution for the strict requirements of IoT services, such as low latency and high bandwidth. Fog computing, which brings computational resources closer to the IoT devices, has emerged as a suitable solution to mitigate these problems. Resource provisioning and application orchestration are two of the key challenges when running IoT applications in a Fog computing environment. In this article, we present ElasticFog, which runs on top of the Kubernetes platform and enables real-time elastic resource provisioning for containerized applications in Fog computing. Specifically, ElasticFog collects network traffic information in real time and allocates computational resources proportionally to the distribution of network traffic. The experimental results prove that ElasticFog achieves a significant improvement in terms of throughput and network latency compared with the default mechanism in Kubernetes.
- KSP Keywords
- Cloud server, Computing environment, Elastic resource provisioning, IOT applications, Internet of thing(IoT), IoT Devices, IoT services, Low latency, Network Traffic, Real-Time, computational resources
This work is distributed under the term of Creative Commons License (CCL)
(CC BY)
(CC BY)
