OOIR: Observatory of International Research

Papers

(The H4-Index of Journal of Grid Computing is 21. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-05-01 to 2025-05-01.)

Article	Citations
A Correlation Based Recommendation System for Large Data Sets	49
Cloud Resource Demand Prediction using Machine Learning in the Context of QoS Parameters	48
Software License Consolidation and Resource Optimization in Container-based Virtualized Data Centers	48
ICSMPC: Design of an Iterative-Learning Contextual Side Chaining Model for Improving Security of Priority-Aware Cloud Resources	47
An Effective Prediction of Resource Using Machine Learning in Edge Environments for the Smart Healthcare Industry	40
A Load-Aware Energy-Efficient Clustering Algorithm in Sensor-Cloud	38
Distributed and Decentralized Orchestration of Containers on Edge Clouds	37
Enhancing the Reuse of Scientific Experiments for Agricultural Software Ecosystems	34
Healthcare and Fitness Services: A Comprehensive Assessment of Blockchain, IoT, and Edge Computing in Smart Cities	31
A Survey of Service Placement in Cloud Environments	31
Edge Computing Empowered Smart Healthcare: Monitoring and Diagnosis with Deep Learning Methods	30
Placement Combination between Heterogeneous Services and Heterogeneous Capacitated Servers in Edge Computing	29
Exploring the Synergy of Blockchain, IoT, and Edge Computing in Smart Traffic Management across Urban Landscapes	28
Adversarial Attacks on Visual Objects Using the Fast Gradient Sign Method	27
Energy-Efficient and Load-Aware VM Placement in Cloud Data Centers	24
Energy-Constrained DAG Scheduling on Edge and Cloud Servers with Overlapped Communication and Computation	23
Optimizing Accounting Informatization through Simultaneous Multi-Tasking across Edge and Cloud Devices using Hybrid Machine Learning Models	23
Correction to: Improved Butterfly Optimization Algorithm for Data Placement and Scheduling in Edge Computing Environments	22
A Market-based Framework for Resource Management in Cloud Federation	22
Enhancing Machine Learning-Based Autoscaling for Cloud Resource Orchestration	21
A Federated Framework for Edge Computing Devices with Collaborative Fairness and Adversarial Robustness	21
Mayfly Taylor Optimization-Based Graph Attention Network for Task Scheduling in Edge Computing	21