Container Based Framework for Flexible IoT Classrooms in Resource Constrained Environments (ContEd)

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This preprint studies how to deploy flexible, resource-efficient IoT-enabled classroom environments in settings constrained by device capacity and lightweight operating systems, proposing ContEd, a container-based framework that creates lightweight, isolated, course-specific containers as an alternative to virtual machines. Using an architecture that classifies courses by user type, urgency, and resource usage, the paper reports that ContEd also includes role-based access control to prevent unauthorized or malicious content installation and provides resource allocation strategies for device placement, container scheduling, and migration. Experimental results are presented showing ContEd outperforms traditional VM-based classroom models in cost, flexibility, and efficiency, especially in resource-constrained scenarios, with the main caveat that the work is a preprint and has not been peer reviewed. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Abstract A wide range of applications of the Internet of Things (IoT) is anticipated in the forthcoming hyper-connected society, including in classroom-based learning. To support flexible and resource-efficient learning environments, this paper proposes ContEd, a Container-based Framework for Flexible IoT Classrooms. ContEd enables the design and deployment of lightweight, isolated, and course-specific containers, offering the flexibility of Virtual Machine (VM)-based systems while significantly reducing setup and maintenance costs. The framework is particularly well-suited for resource-constrained devices and lightweight operating systems typical of IoT-enabled classrooms. To approach optimal performance, the ContEd architecture incorporates user type, urgency, and resource-usage-based course classification when creating containers, ensuring that each course receives a tailored environment. The framework integrates a role-based access control mechanism to prevent unauthorized or malicious content installation within containers. To facilitate automatic deployment of IoT-enabled classrooms, ContEd includes resource allocation strategies for device placement, container scheduling, and migration, enabling efficient management of limited resources. Experimental results demonstrate that ContEd outperforms traditional VM-based classroom models in terms of cost, flexibility, and efficiency, particularly in resource-constrained scenarios, validating its suitability for modern IoT-enabled learning environments.
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Container Based Framework for Flexible IoT Classrooms in Resource Constrained Environments (ContEd) | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Container Based Framework for Flexible IoT Classrooms in Resource Constrained Environments (ContEd) Shahid Noor, Golam Kayas, Mahmud Hossain, S. M. Riazul Islam This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7982858/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract A wide range of applications of the Internet of Things (IoT) is anticipated in the forthcoming hyper-connected society, including in classroom-based learning. To support flexible and resource-efficient learning environments, this paper proposes ContEd, a Container-based Framework for Flexible IoT Classrooms. ContEd enables the design and deployment of lightweight, isolated, and course-specific containers, offering the flexibility of Virtual Machine (VM)-based systems while significantly reducing setup and maintenance costs. The framework is particularly well-suited for resource-constrained devices and lightweight operating systems typical of IoT-enabled classrooms. To approach optimal performance, the ContEd architecture incorporates user type, urgency, and resource-usage-based course classification when creating containers, ensuring that each course receives a tailored environment. The framework integrates a role-based access control mechanism to prevent unauthorized or malicious content installation within containers. To facilitate automatic deployment of IoT-enabled classrooms, ContEd includes resource allocation strategies for device placement, container scheduling, and migration, enabling efficient management of limited resources. Experimental results demonstrate that ContEd outperforms traditional VM-based classroom models in terms of cost, flexibility, and efficiency, particularly in resource-constrained scenarios, validating its suitability for modern IoT-enabled learning environments. Docker Container IoT-based Education Smart Classroom Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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