LETO: An Efficient Load Balanced Strategy for Task Offloading in IoT-Fog Systems
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9590196/9590192/09590239.pdf?arnumber=9590239
Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. An efficient scheduling scheme for intelligent driving tasks in a novel vehicle-edge architecture considering mobility and load balancing;Future Generation Computer Systems;2024-11
2. MIME: Mobility-Induced Dynamic Matching for Partial Offloading in Vehicular Edge Computing;2024 IEEE 49th Conference on Local Computer Networks (LCN);2024-10-08
3. A many-to-many matching with externalities solution for parallel task offloading in IoT networks;Journal of King Saud University - Computer and Information Sciences;2024-09
4. VMAP: Matching-based Efficient Offloading in IoT-Fog Environments with Variable Resources;2023 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS);2023-12-17
5. A Dynamic Pricing Strategy for Load Balancing Across Multiple Edge Servers;2023 IEEE International Conference on Web Services (ICWS);2023-07
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