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Joint Front–Edge–Cloud IoVT Analytics: Resource-Effective Design and Scheduling

Research article (IEEE Internet of Things Journal, 2022) · cited 26× · AI/ML
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Joint Front–Edge–Cloud IoVT Analytics: Resource-Effective Design and Scheduling

Summary

Joint Front–Edge–Cloud IoVT Analytics: Resource-Effective Design and Scheduling is a scholarly article[1].

Key Facts

  • Joint Front–Edge–Cloud IoVT Analytics: Resource-Effective Design and Scheduling's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Joint Front–Edge–Cloud IoVT Analytics: Resource-Effective Design and Scheduling. Retrieved May 24, 2026, from https://4ort.xyz/entity/joint-frontedgecloud-iovt-analytics-resource-effective-design-and-scheduling
MLA “Joint Front–Edge–Cloud IoVT Analytics: Resource-Effective Design and Scheduling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/joint-frontedgecloud-iovt-analytics-resource-effective-design-and-scheduling.
BibTeX @misc{4ortxyz_joint-frontedgecloud-iovt-analytics-resource-effective-design-and-scheduling_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Joint Front–Edge–Cloud IoVT Analytics: Resource-Effective Design and Scheduling}}, year = {2026}, url = {https://4ort.xyz/entity/joint-frontedgecloud-iovt-analytics-resource-effective-design-and-scheduling}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Joint Front–Edge–Cloud IoVT Analytics: Resource-Effective Design and Scheduling — https://4ort.xyz/entity/joint-frontedgecloud-iovt-analytics-resource-effective-design-and-scheduling (retrieved 2026-05-24)

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