qos-based-optimization-of-runtime-management-of-sensing-cloud-applications.pdf

IoT applications perceive and interact with the environment via smart devices and cloud services. When operating such applications one is faced with the challenge of configuring the smart devices and the cloud services in a manner, which achieves a high data quality at low operational costs. This wo...

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Γλώσσα:English
Έκδοση: KIT Scientific Publishing 2022
Διαθέσιμο Online:https://doi.org/10.5445/KSP/1000139936
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spelling oapen-20.500.12657-571962022-07-07T02:55:17Z QoS-Based Optimization of Runtime Management of Sensing Cloud Applications Gotin, Manuel Internet-of-Things (IoT); Cloud Computing; Lastkontrolle; Flow Control bic Book Industry Communication::U Computing & information technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists IoT applications perceive and interact with the environment via smart devices and cloud services. When operating such applications one is faced with the challenge of configuring the smart devices and the cloud services in a manner, which achieves a high data quality at low operational costs. This work supports IoT operators with IoT collection strategies and cost optimization functions for data qualities, which are influenced by the interplay of smart device and cloud service configurations. 2022-07-06T12:36:21Z 2022-07-06T12:36:21Z 2022 book https://library.oapen.org/handle/20.500.12657/57196 eng The Karlsruhe Series on Software Design and Quality application/pdf Attribution 4.0 International qos-based-optimization-of-runtime-management-of-sensing-cloud-applications.pdf https://doi.org/10.5445/KSP/1000139936 KIT Scientific Publishing 10.5445/KSP/1000139936 10.5445/KSP/1000139936 44e29711-8d53-496b-85cc-3d10c9469be9 33 260 open access
institution OAPEN
collection DSpace
language English
description IoT applications perceive and interact with the environment via smart devices and cloud services. When operating such applications one is faced with the challenge of configuring the smart devices and the cloud services in a manner, which achieves a high data quality at low operational costs. This work supports IoT operators with IoT collection strategies and cost optimization functions for data qualities, which are influenced by the interplay of smart device and cloud service configurations.
title qos-based-optimization-of-runtime-management-of-sensing-cloud-applications.pdf
spellingShingle qos-based-optimization-of-runtime-management-of-sensing-cloud-applications.pdf
title_short qos-based-optimization-of-runtime-management-of-sensing-cloud-applications.pdf
title_full qos-based-optimization-of-runtime-management-of-sensing-cloud-applications.pdf
title_fullStr qos-based-optimization-of-runtime-management-of-sensing-cloud-applications.pdf
title_full_unstemmed qos-based-optimization-of-runtime-management-of-sensing-cloud-applications.pdf
title_sort qos-based-optimization-of-runtime-management-of-sensing-cloud-applications.pdf
publisher KIT Scientific Publishing
publishDate 2022
url https://doi.org/10.5445/KSP/1000139936
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