Efficient resource management and workload allocation in fog–cloud computing paradigm in IoT using learning classifier systems

Research article (Computer Communications, 2020) · cited 96× · AI/ML
Press Enter · cited answer in seconds

Efficient resource management and workload allocation in fog–cloud computing paradigm in IoT using learning classifier systems

Summary

Efficient resource management and workload allocation in fog–cloud computing paradigm in IoT using learning classifier systems is a scholarly article[1].

Key Facts

  • Efficient resource management and workload allocation in fog–cloud computing paradigm in IoT using learning classifier systems's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Efficient resource management and workload allocation in fog–cloud computing paradigm in IoT using learning classifier systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/efficient-resource-management-and-workload-allocation-in-fogcloud-computing-paradigm-in-iot-using-learning-classifier-sy
MLA “Efficient resource management and workload allocation in fog–cloud computing paradigm in IoT using learning classifier systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/efficient-resource-management-and-workload-allocation-in-fogcloud-computing-paradigm-in-iot-using-learning-classifier-sy.
BibTeX @misc{4ortxyz_efficient-resource-management-and-workload-allocation-in-fogcloud-computing-paradigm-in-iot-using-learning-classifier-sy_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Efficient resource management and workload allocation in fog–cloud computing paradigm in IoT using learning classifier systems}}, year = {2026}, url = {https://4ort.xyz/entity/efficient-resource-management-and-workload-allocation-in-fogcloud-computing-paradigm-in-iot-using-learning-classifier-sy}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Efficient resource management and workload allocation in fog–cloud computing paradigm in IoT using learning classifier systems — https://4ort.xyz/entity/efficient-resource-management-and-workload-allocation-in-fogcloud-computing-paradigm-in-iot-using-learning-classifier-sy (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/efficient-resource-management-and-workload-allocation-in-fogcloud-computing-paradigm-in-iot-using-learning-classifier-sy · Last refreshed: