Efficient Resource Configuration and Bandwidth Allocation for IIoT with Edge-Cloud Computing
Author:
Affiliation:
1. Central South University,School of Computer Science and Engineering,Changsha,China,410083
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10054511/10054645/10054838.pdf?arnumber=10054838
Reference18 articles.
1. Incentive Mechanism Design for Edge-Cloud Collaboration in Mobile Crowd Sensing
2. Pricing-Driven Service Caching and Task Offloading in Mobile Edge Computing
3. Online Resource Procurement and Allocation in a Hybrid Edge-Cloud Computing System
4. QoS-Aware Cloud Resource Prediction for Computing Services
5. Three Dynamic Pricing Schemes for Resource Allocation of Edge Computing for IoT Environment
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1. An Edge-Cloud Collaborative Industrial Internet of Things Network Architecture for Complex Scenarios;2024 IEEE Symposium on Wireless Technology & Applications (ISWTA);2024-07-20
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