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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 - Seyed Salar Sefati, Ahmed M. Nor, Bahman Arasteh, Razvan Craciunescu, Ciprian-Romeo Comsa:
A Probabilistic Approach to Load Balancing in Multi-Cloud Environments via Machine Learning and Optimization Algorithms. 16 - Fabio Franchi, Francesco Smarra, Eleonora Di Fina, Alessandra Galassi:
On the Performance of Geospatial Services Deployment: An Experimental Benchmark Analysis. 17 - Juan Chen, Lin Bai, Ningjiang Chen, Yubin Yang:
HyperGAC: Information Entropy-Driven Resource Allocation for Cloud-Edge-End Computing. 18 - Haitham M. Abdelghany:
Dynamic Resource Management and Task Offloading Framework for Fog Computing. 19 - Alice Florenta Suiu, Costin Grigoras, Nicolae Tapus, Latchezar Betev:
High Throughput Data Transfer System for ALICE Experiment in Run 3. 20 - Sahul Goyal, Lalit Kumar Awasthi:
Adaptive Multi-Objective Virtual Machine Consolidation for Energy-Efficient Cloud Data Centers. 21
Volume 23, Number 3, September 2025
- Shobhana Kashyap, Avtar Singh:
A Hybrid Scheduling for Multi-Objective Optimization using Prediction Approach. 22 - Ioanna Angeliki Kapetanidou, Alexandros Nizamis, Efstathios Karanastasis, Gabriel-Mihail Danciu, Clara Isabel Valero López, Thanasis Kotsiopoulos, Juan Gascón, Jaime Flor, Ross Campbell, Athanasios Liatifis, Nadia Masood Khan, Dejan Drajic, Stefan Jarcau, Vlad Mocanu, Mihnea Lopataru, Haya Al kassir, Dimitrios Pliatsios, Efthymios Chondrogiannis, Antonios Litke, Srdjan Krco, Usman Wajid, Septimiu Nechifor, Panagiotis G. Sarigiannidis, Panagiotis Trakadas, Konstantinos Votis:
Cognitive Computing Continuum: State-of-the-Art Review and ENACT Vision & Approach. 23 - M. R. Naveen Kumar, Annappa B., Hrushikesh J, Siddharth Srinivasan, Samyak Sanjay Sand:
Pod Scheduling and Proactive Resource Management in an Edge Cluster using MCDM and Federated Learning. 24
Volume 23, Number 4, December 2025
- Shivani Tripathi, Priyadarshni Gupta, Rajiv Misra, T. N. Singh:
GQAT-Net: A Calibrated Attention Model for Failure Prediction in Large-Scale Distributed Systems. 25 - Seyed Salar Sefati, Mobina Keymasi, Razvan Craciunescu, Sanda Maiduc, Mustafa Bayram, Bahman Arasteh:
Adaptive Resource Scheduling in Multi-Cloud Computing Using Recurrent Neural Forecasting and Memory-Based Metaheuristic Optimization. 26 - Hongyan Xia, Jia Hao, Ruijie Cao:
Adaptive Resource Allocation for Cloud-native Microservice via Meta-learning and Hyper-heuristic Algorithms. 27
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