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ORCIDJournal of Grid Computing, Volume 23
Volume 23, Number 1, March 2025
- Jing Liu, Yuting Huang, Chunhua Deng, Longxin Zhang, Cen Chen, Keqin Li:
Efficient Resource Allocation Algorithm for Maximizing Operator Profit in 5G Edge Computing Network. 4 - Piotr Nawrocki, Mateusz Smendowski
:
A Survey of Cloud Resource Consumption Optimization Methods. 5 - Zhihua Li, Zhaonan Li, Ran Yang, Junhao Qian, Ning Yu:
Resource-Efficient and Quality-Aware Virtual Machine Consolidation Method. 6 - Veeranki Venkata Rama Maheswara Rao, Shiva Shankar Reddy, Silpa Nrusimhadri, Gadiraju Mahesh:
A Flawless QoS Aware Task Offloading in IoT Driven Edge Computing System using Chebyshev Based Sand Cat Swarm Optimization. 7 - Ankur Sharma, Veni Thangaraj:
A Lightweight Trajectory Aware Application Placement in IoT-Fog-Cloud Environment. 8 - Ruizhong Du, Jianwei Zhao, Yan Gao:
Secure Computation Offloading Using Enhanced Genetic Algorithm for Ocean IoT. 9 - Nour El Houda Boubaker, Karim Zarour, Nawal Guermouche, Djamel Benmerzoug:
Optimizing Workflow Offloading and Migration under Timed Constraints in Fog and Cloud Computing. 10 - Seyed Omid Azarkasb, Seyed Hossein Khasteh:
Fog Computing Tasks Management Based on Federated Reinforcement Learning. 11 - Ehsan Rasoulpour Shabestari, Alireza Shameli-Sendi:
An Intelligent VM Placement Method for Minimizing Energy Cost and Carbon Emission in Distributed Cloud Data Centers. 12
Volume 23, Number 2, June 2025
- Jianxiong Bo, Xu Zhao:
Vehicle Edge Computing Task Offloading Strategy Based on Multi-Agent Deep Reinforcement Learning. 13 - Ruchika, Rajender Singh Chhillar:
Performance Evaluation of Hybrid Cloud-Fog Computing Architectures in Smart Home IoT Environments: A Comparative Simulation Study Across Multiple Tools. 14 - Hind Mikram, Said El Kafhali:
CHPSO: An Efficient Algorithm for Task Scheduling and Optimizing Resource Utilization in the Cloud Environment. 15
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