Empirical Analysis of Containers on Resource Constrained IoT Gateway

Jeong, Jaeyeop; Raza, Syed M.; Kim, Moonseong; Kang, Byungseok; Jang, Boyun; Choo, Hyunseung

doi:10.1109/icce46568.2020.9043056

Cited by 2 publications

(1 citation statement)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The comparative studies, which are particularly done for IoT devices, lack final discussion to point out which orchestration tool is beneficial in a particular deployment scenario. Our previous study [34] outlines the performance of containerized services using DS in IoT gateways testbed based on Raspberry Pi boards. This paper extends the testbed to perform a comparative analysis between DS and K8s for creation time of containers, CPU utilization of concurrent container deployments, memory usage, and energy consumption.…”

Section: Literature Reviewmentioning

confidence: 99%

Empirical Performance and Energy Consumption Evaluation of Container Solutions on Resource Constrained IoT Gateways

Raza

Jeong

Kim

et al. 2021

Sensors

Self Cite

View full text Add to dashboard Cite

Containers virtually package a piece of software and share the host Operating System (OS) upon deployment. This makes them notably light weight and suitable for dynamic service deployment at the network edge and Internet of Things (IoT) devices for reduced latency and energy consumption. Data collection, computation, and now intelligence is included in variety of IoT devices which have very tight latency and energy consumption conditions. Recent studies satisfy latency condition through containerized services deployment on IoT devices and gateways. They fail to account for the limited energy and computing resources of these devices which limit the scalability and concurrent services deployment. This paper aims to establish guidelines and identify critical factors for containerized services deployment on resource constrained IoT devices. For this purpose, two container orchestration tools (i.e., Docker Swarm and Kubernetes) are tested and compared on a baseline IoT gateways testbed. Experiments use Deep Learning driven data analytics and Intrusion Detection System services, and evaluate the time it takes to prepare and deploy a container (creation time), Central Processing Unit (CPU) utilization for concurrent containers deployment, memory usage under different traffic loads, and energy consumption. The results indicate that container creation time and memory usage are decisive factors for containerized micro service architecture.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Empirical Performance and Energy Consumption Evaluation of Container Solutions on Resource Constrained IoT Gateways

Raza

Jeong

Kim

et al. 2021

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

Open-Source Internet of Things Gateways for Building Automation Applications

Schraven

Droste

Carducci³

et al. 2022

JSAN

View full text Add to dashboard Cite

Due to its potential benefits in data transparency, maintenance, and optimization of operation, the Internet of Things (IoT) has recently emerged in the building automation system (BAS) domain. However, while various IoT devices have been developed, the integration into BAS remains a challenging task due to the variety of conventional interfaces used in existing BAS. From an objective point of view, integrating IoT connectivity on existing devices’ printed circuit boards (PCBs) would be the most efficient option in terms of cost and resources, but requires adaptation of product lines, and vendors would often couple this with their own services and without an option for customization. By contrast, the majority of research activities focus on developing alternative or additional measurement systems, rather than connecting with legacy system components. Furthermore, most research applications cover very simple and individual use-cases with a do-it-yourself character and limited applicability in industrial applications. In this study, we present a scalable, industrial-like embedded solution to connect to common interfaces in BAS applications and share all the hardware and software design as an open-source platform for public use, customization, and further enhancement. Moreover, a thorough measurement performance analysis was conducted, suggesting an acceptable trade-off among accuracy, flexibility, and costs, e.g., achieving a performance increase by over 75 and a cost reduction by roughly 34 compared to a previous design.

show abstract

Empirical Analysis of Containers on Resource Constrained IoT Gateway

Cited by 2 publications

References 10 publications

Empirical Performance and Energy Consumption Evaluation of Container Solutions on Resource Constrained IoT Gateways

Empirical Performance and Energy Consumption Evaluation of Container Solutions on Resource Constrained IoT Gateways

Open-Source Internet of Things Gateways for Building Automation Applications

Contact Info

Product

Resources

About