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dc.contributor.authorGotin, Manuel
dc.date.accessioned2022-07-07T04:01:52Z
dc.date.available2022-07-07T04:01:52Z
dc.date.issued2022
dc.date.submitted2022-07-06T12:36:21Z
dc.identifierhttps://library.oapen.org/handle/20.500.12657/57196
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/87567
dc.description.abstractIoT 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.
dc.languageEnglish
dc.relation.ispartofseriesThe Karlsruhe Series on Software Design and Quality
dc.rightsopen access
dc.subject.otherInternet-of-Things (IoT); Cloud Computing; Lastkontrolle; Flow Control
dc.titleQoS-Based Optimization of Runtime Management of Sensing Cloud Applications
dc.typebook
oapen.identifier.doi10.5445/KSP/1000139936
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2
oapen.pages260
dc.seriesnumber33


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open access
Except where otherwise noted, this item's license is described as open access