SAVI-IoT: A Self-Managing Containerized IoT Platform

Internet of Things (IoT) as a service is the ultimate goal of employing cloud computing paradigm for initiating IoT application scenarios. Due to the nature of IoT ecosystems, an IoT application should be distributed, programmable and autonomic; also, it requires to support heterogeneity, security a...

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Bibliographic Details
Published in2017 IEEE 5th International Conference on Future Internet of Things and Cloud (FiCloud) pp. 227 - 234
Main Authors Khazaei, Hamzeh, Bannazadeh, Hadi, Leon-Garcia, Alberto
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2017
Subjects
Auto-Scalability
Autonomic Management System
Big Data
Cloud computing
Containers
Internet of Things
Logic gates
Multi-tier cloud
Security
Sparks
Virtualization
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Summary:Internet of Things (IoT) as a service is the ultimate goal of employing cloud computing paradigm for initiating IoT application scenarios. Due to the nature of IoT ecosystems, an IoT application should be distributed, programmable and autonomic; also, it requires to support heterogeneity, security and privacy by following design patterns involved in creating IoT systems. A multi-layer cloud architecture comprising of a high-capacity core center that is connected, through high speed links, to geographically distributed smart edges seem appropriate for highly distributed and heterogeneous IoT applications. Building upon our previous initiatives and inspired by the Infrastructure as Code (IoC) paradigm, in this paper, we propose and evaluate a hierarchical, programmable and autonomic IoT platform based on the microservice models. Our platform supports big data, local/edge data processing, high level of programmability and runtime autonomic management. The autonomic management system ensures the service availability, quality of service and optimized resource utilization in the whole IoT application components autonomously. The primary results affirm a promising future of our platform toward realization of IoT as a service.
DOI:10.1109/FiCloud.2017.27