OOIR: Observatory of International Research

Papers

(The TQCC of Journal of Grid Computing is 9. 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 2021-11-01 to 2025-11-01.)

Article	Citations
A Load-Aware Energy-Efficient Clustering Algorithm in Sensor-Cloud	59
An Effective Prediction of Resource Using Machine Learning in Edge Environments for the Smart Healthcare Industry	55
Software License Consolidation and Resource Optimization in Container-based Virtualized Data Centers	49
ICSMPC: Design of an Iterative-Learning Contextual Side Chaining Model for Improving Security of Priority-Aware Cloud Resources	43
Healthcare and Fitness Services: A Comprehensive Assessment of Blockchain, IoT, and Edge Computing in Smart Cities	38
Placement Combination between Heterogeneous Services and Heterogeneous Capacitated Servers in Edge Computing	36
Edge Computing Empowered Smart Healthcare: Monitoring and Diagnosis with Deep Learning Methods	34
Exploring the Synergy of Blockchain, IoT, and Edge Computing in Smart Traffic Management across Urban Landscapes	31
Adversarial Attacks on Visual Objects Using the Fast Gradient Sign Method	29
Optimizing Accounting Informatization through Simultaneous Multi-Tasking across Edge and Cloud Devices using Hybrid Machine Learning Models	24
Energy-Constrained DAG Scheduling on Edge and Cloud Servers with Overlapped Communication and Computation	23
Energy-Efficient and Load-Aware VM Placement in Cloud Data Centers	23
A Market-based Framework for Resource Management in Cloud Federation	23
Blockchain Assisted Cloud Security and Privacy Preservation using Hybridized Encryption and Deep Learning Mechanism in IoT-Healthcare Application	22
Mayfly Taylor Optimization-Based Graph Attention Network for Task Scheduling in Edge Computing	22
A Review of Machine Learning Network in Human Motion Biomechanics	20
A Federated Framework for Edge Computing Devices with Collaborative Fairness and Adversarial Robustness	18
Adaptive Resource Scheduling in Multi-Cloud Computing Using Recurrent Neural Forecasting and Memory-Based Metaheuristic Optimization	18
Enhancing Machine Learning-Based Autoscaling for Cloud Resource Orchestration	18
Signature-based Adaptive Cloud Resource Usage Prediction Using Machine Learning and Anomaly Detection	18
Anti-Attack Intrusion Detection Model Based on MPNN and Traffic Spatiotemporal Characteristics	17
Decentralized AI-Based Task Distribution on Blockchain for Cloud Industrial Internet of Things	17
SLA-based Multi-dimensional Trust Model for Fog Computing Environments	17
Interfering Spatiotemporal Features and Causes of Bus Bunching using Empirical GPS Trajectory Data	16
Assessing the Complexity of Cloud Pricing Policies: A Comparative Market Analysis	16

AI-Driven Task Scheduling Strategy with Blockchain Integration for Edge Computing	16
Deep Learning-Based Multi-Domain Framework for End-to-End Services in 5G Networks	16
Deep Reinforcement Learning and Markov Decision Problem for Task Offloading in Mobile Edge Computing	15
Secondary Pulmonary Tuberculosis Identification Via pseudo-Zernike Moment and Deep Stacked Sparse Autoencoder	15
Conformance-oriented Predictive Process Monitoring in BPaaS Based on Combination of Neural Networks	15
Cognitive Computing Continuum: State-of-the-Art Review and ENACT Vision & Approach	14
Multi-Agent Systems for Collaborative Inference Based on Deep Policy Q-Inference Network	14
Correction: Enabling Configurable Workflows in Smart Environments with Knowledge-based Process Fragment Reuse	14
Novel Transformation Deep Learning Model for Electrocardiogram Classification and Arrhythmia Detection using Edge Computing	14
An Adaptive Hierarchical Concatenated Network With A Robust Loss Function For Image Denoising	14
A Heuristic Deep Q Learning for Offloading in Edge Devices in 5 g Networks	13
An Intelligent Framework for Oversubscription Management in CPU-GPU Unified Memory	13
A Formal Approach for the Identification of Authorization Policy Conflicts within Multi-Cloud Environments	13
A QoS-Aware IoT Service Placement Mechanism in Fog Computing Based on Open-Source Development Model	13
Smart Financial Investor’s Risk Prediction System Using Mobile Edge Computing	13
Analysis of Mobile Communication Network Architecture Based on SDN	12
A Secure IoT Applications Allocation Framework for Integrated Fog-Cloud Environment	12
A Hybrid Scheduling for Multi-Objective Optimization using Prediction Approach	12
An Efficient Mobile Edge Computing based Resource Allocation using Optimal Double Weighted Support Vector Transfer Regression	12
EPMA: Elastic Platform for Microservices-based Applications: Towards Optimal Resource Elasticity	12
On-Chain and Off-Chain Data Management for Blockchain-Internet of Things: A Multi-Agent Deep Reinforcement Learning Approach	11
Stochastic Demands Oriented General Resource Scheduling With Burstable Resources	11
Plaintext Related Optical Image Hybrid Encryption Based on Fractional Fourier Transform and Generalized Chaos of Multiple Controlling Parameters	11
Machine Learning Method with Applications in Hardware Security of Post-Quantum Cryptography	10
New Improved Multi-Objective Gorilla Troops Algorithm for Dependent Tasks Offloading problem in Multi-Access Edge Computing	10
A Novel Levy Walk-based Framework for Scheduling Power-intensive Mobile Edge Computing Tasks	10
Optimizing Resource Consumption and Reducing Power Usage in Data Centers, A Novel Mathematical VM Replacement Model and Efficient Algorithm	10
Joint Task Offloading Based on Distributed Deep Reinforcement Learning-Based Genetic Optimization Algorithm for Internet of Vehicles	9
Fuzzy Reinforcement Learning Algorithm for Efficient Task Scheduling in Fog-Cloud IoT-Based Systems	9
A Quasi-Oppositional Learning-based Fox Optimizer for QoS-aware Web Service Composition in Mobile Edge Computing	9
Deep Learning Based Entropy Controlled Optimization for the Detection of Covid-19	9
Efficient Data Offloading Using Markovian Decision on State Reward Action in Edge Computing	9
Collaborative Cloud-Edge-End Task Offloading in NOMA-Enabled Mobile Edge Computing Using Deep Learning	9
Adaptive Scheduling Framework of Streaming Applications based on Resource Demand Prediction with Hybrid Algorithms	9
Joint Task Dispatching and Bandwidth Allocation with Hard Deadlines in Distributed Serverless Edge Computing Systems	9
Markovian with Federated Deep Recurrent Neural Network for Edge—IoMT to Improve Healthcare in Smart Cities	9
A Survey on Auction based Approaches for Resource Allocation and Pricing in Emerging Edge Technologies	9