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학술지 ElasticFog: Elastic Resource Provisioning in Container-Based Fog Computing
Cited 11 time in scopus Download 1 time Share share facebook twitter linkedin kakaostory
저자
Nguyen Dinh Nguyen, Linh-An Phan, 박대헌, 김세한, 김태홍
발행일
202010
출처
IEEE Access, v.8, pp.183879-183890
ISSN
2169-3536
출판사
IEEE
DOI
https://dx.doi.org/10.1109/ACCESS.2020.3029583
협약과제
20HU1100, 축산질병 예방 및 통제 관리를 위한 ICT 기반의 지능형 스마트 안전 축사 기술 개발, 김세한
초록
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.
키워드
Container, fog computing, Internet of Things (IoT), Kubernetes, resource provisioning
KSP 제안 키워드
Cloud server, Computing environment, Elastic resource provisioning, High bandwidth, IOT applications, Internet of thing(IoT), IoT Devices, IoT services, Low latency, Network Traffic, Real-Time