Foggy: A Framework for Continuous Automated IoT Application Deployment in Fog Computing

被引:62
作者
Yigitoglu, Emre [1 ]
Mohamed, Mohamed [2 ]
Liu, Ling [1 ]
Ludwig, Heiko [2 ]
机构
[1] Georgia Inst Technol, Coll Comp, Atlanta, GA 30332 USA
[2] IBM Res, Ubiquitous Platforms, Almaden, CA USA
来源
2017 IEEE 6TH INTERNATIONAL CONFERENCE ON AI & MOBILE SERVICES (AIMS) | 2017年
基金
美国国家科学基金会;
关键词
Internet of Things; Fog Computing; Orchestration; Cloud;
D O I
10.1109/AIMS.2017.14
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Traditional Cloud model is not designed to handle latency-sensitive Internet of Things applications. The new trend consists on moving data to be processed close to where it was generated. To this end, Fog Computing paradigm suggests using the compute and storage power of network elements. In such environments, intelligent and scalable orchestration of thousands of heterogeneous devices in complex environments is critical for IoT Service providers. In this vision paper, we present a framework, called Foggy, that facilitates dynamic resource provisioning and automated application deployment in Fog Computing architectures. We analyze several applications and identify their requirements that need to be taken into consideration in our design of the Foggy framework. We implemented a proof of concept of a simple IoT application continuous deployment using Raspberry Pi boards.
引用
收藏
页码:38 / 45
页数:8
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