AI-oriented Medical Workload Allocation for Hierarchical Cloud/Edge/Device Computing
AI-oriented Medical Workload Allocation for Hierarchical Cloud/Edge/Device Computing
About this item
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Author / Creator
Hao, Tianshu , Zhan, Jianfeng , Hwang, Kai , Gao, Wanling and Xu, Wen
Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
Language
English
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Publication information
Publisher
Ithaca: Cornell University Library, arXiv.org
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Scope and Contents
Contents
In a hierarchically-structured cloud/edge/device computing environment, workload allocation can greatly affect the overall system performance. This paper deals with AI-oriented medical workload generated in emergency rooms (ER) or intensive care units (ICU) in metropolitan areas. The goal is to optimize AI-workload allocation to cloud clusters, edg...
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Full title
AI-oriented Medical Workload Allocation for Hierarchical Cloud/Edge/Device Computing
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Author / Creator
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Record Identifier
TN_cdi_proquest_journals_2353319346
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2353319346
Other Identifiers
E-ISSN
2331-8422
