Containerized deployment of micro-services in fog devices: a reinforcement learning-based approach

Nath, Shubha Brata; Chattopadhyay, Subhrendu; Karmakar, Raja; Addya, Sourav Kanti; Chakraborty, Sandip; Ghosh, Soumya K.

doi:10.1007/s11227-021-04135-2

Cited by 3 publications

(1 citation statement)

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“…Optimizing resources utilization and ensuring efficient allocation of containers in resources constrained fog nodes remains a significant challenge. Orchestration at scale, as the scale of fog computing deployments increases, managing and orchestrating a large number of containers across multiple fog nodes becomes challenging [17]. These recommendations aim to guide researchers and practitioners in the selection, deployment, and management of containerized application in fog computing.…”

Section: E Challenges and Recommendationsmentioning

confidence: 99%

Orchestration Tools For Efficient Deployment of IoT Applications In Fog Computing: A Systematic Review

Mthembu,

Ezeji,

Adigun

2023

iCARTi

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Internet of Things (IoT) is the developing technology that enables devices to communicate without human interaction. IoT utilizes cloud computing services to collect and process data for IoT devices and to manage the device remotely. Cloud computing is not efficient enough to handle the fast stream of data produced by the IoT, therefore scaling up IoT applications to meet demands of high peak becomes easier and highly automated in fog computing. Containers are mostly used as virtualization solutions for IoT in fog computing. It enables the execution of small microservices to large applications. However, the rise of many lightweight containers has resulted in new application architectures and fundamentally changing how applications are deployed and visualized. Due to this change, container orchestration tools were proposed. These tools allow users to coordinate and manage containers. However, container orchestration tools need to meet the requirements of IoT applications and constraints imposed on the nodes in fog. This paper presents a systematic literature review on the selection of orchestration tools for the efficient deployment of IoT applications in fog computing. Moreover, the performance of IoT applications must be considered by applying different metrics. This paper aims to propose potential research directions to address identified gaps in the selection of orchestration tools.

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Section: E Challenges and Recommendationsmentioning

confidence: 99%