MAO: An Efficient Resource Utilization of Task Scheduling in Cloud Fog Environment
Author:
Affiliation:
1. Marri Laxman Reddy Institute of Technology,India
2. VIT-AP University,Amaravathi,India
3. Anurag University,Hyderabad,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10532253/10532799/10532985.pdf?arnumber=10532985
Reference18 articles.
1. Task scheduling optimization in heterogeneous cloud computing environments: A hybrid GA-GWO approach
2. HEPGA: A new effective hybrid algorithm for scientific workflow scheduling in cloud computing environment
3. Task scheduling in cloud-fog computing systems
4. Task Scheduling Using PSO Algorithm in Cloud Computing Environments
5. A PSO-based task scheduling algorithm improved using a load-balancing technique for the cloud computing environment
Cited by 1 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. Hybrid Spotted Hyena and Simulated Annealing Optimization Algorithm(HSHOSAA-1) for Efficient Task Scheduling in a Clustered Cloud Environment;2024 Third International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN);2024-07-18
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