EdgeDrones: Co-scheduling of drones for multi-location aerial computing missions-Reference-Cited by-同舟云学术

EdgeDrones: Co-scheduling of drones for multi-location aerial computing missions

Author:

Awada Uchechukwu^ORCID,Zhang Jiankang^ORCID,Chen Sheng^ORCID,Li Shuangzhi^ORCID,Yang Shouyi^ORCID

Funder

China Postdoctoral Science Foundation

Henan University

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture

Reference51 articles.

1. Improving resource efficiency of container-instance clusters on clouds;Awada,2017

2. Resource efficiency in container-instance clusters;Awada,2017

3. Edge federation: A dependency-aware multi-task dispatching and co-location in federated edge container-instances;Awada,2020

4. AirEdge: A dependency-aware multi-task orchestration in federated aerial computing;Awada;IEEE Trans. Veh. Technol.,2021

5. Air-to-air collaborative learning: A multi-task orchestration in federated aerial computing;Awada,2021

Cited by 3 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

2. Algorithmic approach leveraging a real-time task scheduler with fan-out strategy;International Journal of Combinatorial Optimization Problems and Informatics;2024-06-12