Author:
Goel Gaurav,Tiwari Rajeev,Anand Abhineet,Kumar Sumit
Reference23 articles.
1. Y. Sun, F. Lin, H. Xu, Multi-objective optimization of resource scheduling in fog computing using an improved NSGA-II. Wirel. Pers. Commun. 102(2), 1369–1385 (2018)
2. S. Bitam, S. Zeadally, A. Mellouk, Fog computing job scheduling optimization based on bees swarm. Enterp. Inf. Syst. 12(4), 373–397 (2018)
3. M. Ghobaei-Arani, A. Souri, F. Safara, M. Norouzi, An efficient task scheduling approach using moth-flame optimization algorithm for cyber-physical system applications in fog computing. Trans. Emerg. Telecommun. Technol. 31(2), 1–14 (2020)
4. M.K. Hussein, M.H. Mousa, Efficient task offloading for IoT-Based applications in fog computing using ant colony optimization. IEEE Access 8, 37191–37201 (2020)
5. A.M. Senthil Kumar, B. Kasireddi, An efficient task scheduling method in a cloud computing environment using firefly crow search algorithm (FF-CSA). Int. J. Sci. Technol. Res. 8(12), 623–627 (2019)
Cited by
4 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. Resource Scheduling Techniques for Optimal Quality of Service in Fog Computing Environment: A Review;Wireless Personal Communications;2023-04-19
2. Image Caption using CNN in Computer Vision;2023 International Conference on Artificial Intelligence and Smart Communication (AISC);2023-01-27
3. Stock Market Prediction Approach: An Analysis;2023 International Conference on Artificial Intelligence and Smart Communication (AISC);2023-01-27
4. A Survey on Location Privacy Attacks and Prevention Deployed with IoT in Vehicular Networks;Wireless Communications and Mobile Computing;2022-04-26