Towards Multi-Container Deployment on IoT Gateways

Dolui, Koustabh; Király, Csaba

doi:10.1109/glocom.2018.8647688

Cited by 17 publications

(7 citation statements)

References 14 publications

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“…Their use has increased significantly in data centers, and also recently in IoT gateways (often referred to as ''edge computing'' systems) to monitor devices [35]. An adaptive and modular IoT gateway -called AGILE -was presented in [36]. The gateway hosts multi-containers and micro-service based framework to provide device management, data storage and access control.…”

Section: A a Blockchain-based Modelmentioning

confidence: 99%

GDPR Compliance Verification in Internet of Things

Barati¹,

Rana²,

Petri³

et al. 2020

IEEE Access

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Data privacy in Internet of Things (IoT) applications remains a major concern of regulation bodies. The introduction of the European General Data Protection Regulation (GDPR) enables users to control how their data is accessed and processed, requiring consent from users before any data manipulation is carried out on their (personal) data by smart devices or cloud-hosted services. Blockchains provide the benefits of a distributed and immutable ledger recording digital transactions across a global network of peer nodes. Blockchain support for tracking of operations carried out by an IoT-based system provides greater confidence to a user that the IoT device is not infringing user privacy (as the Blockchain can be audited to verify which operation was carried out, by which actor). A formal model (following the privacy-bydesign approach) is proposed for supporting GDPR compliance checking for smart devices. The privacy requirements of such applications are related to GDPR obligations of device (and software systems) operators (such as user consent, data protection, right to forget etc). Three smart contracts are proposed as a practical solution to support automated verification of operations carried out by devices on user data, in accordance with GDPR rules. We evaluate the performance and scalability costs of our approach using a Blockchain test network.INDEX TERMS Blockchain-based auditing, business processes, general data protection regulation, Internet of Things, user privacy.

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Section: A a Blockchain-based Modelmentioning

confidence: 99%

GDPR Compliance Verification in Internet of Things

Barati¹,

Rana²,

Petri³

et al. 2020

IEEE Access

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“…In more details the AGILE project [17] designed and developed an information gateway focusing on the physical, network communication, processing, storage and application layers of the IoT stack. In addition, the designed software modules provide functions that facilitate device management, area and sensor communication networks and distributed storage.…”

Section: Related Workmentioning

confidence: 99%

Semantic Interoperability for IoT Platforms in Support of Decision Making: An Experiment on Early Wildfire Detection

Kalatzis

Routis

Marinellis

et al. 2019

Sensors

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One of the main obstacles towards the promotion of IoT adoption and innovation is data interoperability. Facilitating cross-domain interoperability is expected to be the core element for the realisation of the next generation of the IoT computing paradigm that is already taking shape under the name of Internet of Everything (IoE). In this article, an analysis of the current status on IoT semantic interoperability is presented that leads to the identification of a set of generic requirements that act as fundamental design principles for the specification of interoperability enabling solutions. In addition, an extension of NGSIv2 data model and API (de-facto) standards is proposed aiming to bridge the gap among IoT and social media and hence to integrate user communities with cyber-physical systems. These specifications have been utilised for the implementation of the IoT2Edge interoperability enabling mechanism which is evaluated within the context of a catastrophic wildfire incident that took place in Greece on July 2018. Weather data, social media activity, video recordings from the fire, sensor measurements and satellite data, linked to the location and the time of this fire incident have been collected, modeled in a uniform manner and fed to an early fire detection decision support system. The findings of the experiment certify that achieving minimum data interoperability with light-weight, plug-n-play mechanisms can be realised with significant benefits for our society.

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“…Container is a software package that bundles applications' code with its runtime environment that includes libraries, configurations, and dependencies to start-up, migrate, and shutdown application more quickly [14]. A container uses operation system level virtualization to use host resources in isolation from other containers, thus, it has much less overhead comparing to Virtual Machines (VMs) [15,16]. There are several container solutions such as Dockers, Linux Containers, Solaris Zone, and RKT, which are orchestrated through tools like Kubernates (K8s), Docker Swarm (DS), and Amazon ECS.…”

Section: Introductionmentioning

confidence: 99%

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

Raza

Jeong

Kim

et al. 2021

Sensors

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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.

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Towards Multi-Container Deployment on IoT Gateways

Cited by 17 publications

References 14 publications

GDPR Compliance Verification in Internet of Things

GDPR Compliance Verification in Internet of Things

Semantic Interoperability for IoT Platforms in Support of Decision Making: An Experiment on Early Wildfire Detection

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

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