Journal of Grid Computing

Papers
(The TQCC of Journal of Grid Computing is 10. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
A Load-Aware Energy-Efficient Clustering Algorithm in Sensor-Cloud58
ICSMPC: Design of an Iterative-Learning Contextual Side Chaining Model for Improving Security of Priority-Aware Cloud Resources51
Software License Consolidation and Resource Optimization in Container-based Virtualized Data Centers46
Healthcare and Fitness Services: A Comprehensive Assessment of Blockchain, IoT, and Edge Computing in Smart Cities40
An Effective Prediction of Resource Using Machine Learning in Edge Environments for the Smart Healthcare Industry40
Placement Combination between Heterogeneous Services and Heterogeneous Capacitated Servers in Edge Computing38
Exploring the Synergy of Blockchain, IoT, and Edge Computing in Smart Traffic Management across Urban Landscapes33
Edge Computing Empowered Smart Healthcare: Monitoring and Diagnosis with Deep Learning Methods29
Adversarial Attacks on Visual Objects Using the Fast Gradient Sign Method29
Optimizing Accounting Informatization through Simultaneous Multi-Tasking across Edge and Cloud Devices using Hybrid Machine Learning Models25
Proximal Policy Optimization for Vehicular Big Data Offloading Across Edge, Regional, and Cloud Layers24
Energy-Efficient and Load-Aware VM Placement in Cloud Data Centers24
A Market-based Framework for Resource Management in Cloud Federation23
Energy-Constrained DAG Scheduling on Edge and Cloud Servers with Overlapped Communication and Computation23
Mayfly Taylor Optimization-Based Graph Attention Network for Task Scheduling in Edge Computing22
A Federated Framework for Edge Computing Devices with Collaborative Fairness and Adversarial Robustness21
Enhancing Machine Learning-Based Autoscaling for Cloud Resource Orchestration20
Blockchain Assisted Cloud Security and Privacy Preservation using Hybridized Encryption and Deep Learning Mechanism in IoT-Healthcare Application20
Signature-based Adaptive Cloud Resource Usage Prediction Using Machine Learning and Anomaly Detection19
SLA-based Multi-dimensional Trust Model for Fog Computing Environments19
Anti-Attack Intrusion Detection Model Based on MPNN and Traffic Spatiotemporal Characteristics19
Decentralized AI-Based Task Distribution on Blockchain for Cloud Industrial Internet of Things18
Adaptive Resource Scheduling in Multi-Cloud Computing Using Recurrent Neural Forecasting and Memory-Based Metaheuristic Optimization18
AI-Driven Task Scheduling Strategy with Blockchain Integration for Edge Computing17
Interfering Spatiotemporal Features and Causes of Bus Bunching using Empirical GPS Trajectory Data17
Conformance-oriented Predictive Process Monitoring in BPaaS Based on Combination of Neural Networks17
Deep Learning-Based Multi-Domain Framework for End-to-End Services in 5G Networks17
Novel Transformation Deep Learning Model for Electrocardiogram Classification and Arrhythmia Detection using Edge Computing16
Assessing the Complexity of Cloud Pricing Policies: A Comparative Market Analysis16
Multi-Agent Systems for Collaborative Inference Based on Deep Policy Q-Inference Network16
Deep Reinforcement Learning and Markov Decision Problem for Task Offloading in Mobile Edge Computing16
Smart Financial Investor’s Risk Prediction System Using Mobile Edge Computing15
Correction: Enabling Configurable Workflows in Smart Environments with Knowledge-based Process Fragment Reuse15
An Adaptive Hierarchical Concatenated Network With A Robust Loss Function For Image Denoising15
A Formal Approach for the Identification of Authorization Policy Conflicts within Multi-Cloud Environments14
A QoS-Aware IoT Service Placement Mechanism in Fog Computing Based on Open-Source Development Model13
Analysis of Mobile Communication Network Architecture Based on SDN13
EPMA: Elastic Platform for Microservices-based Applications: Towards Optimal Resource Elasticity13
Cognitive Computing Continuum: State-of-the-Art Review and ENACT Vision & Approach13
Plaintext Related Optical Image Hybrid Encryption Based on Fractional Fourier Transform and Generalized Chaos of Multiple Controlling Parameters13
A Hybrid Scheduling for Multi-Objective Optimization using Prediction Approach13
A Heuristic Deep Q Learning for Offloading in Edge Devices in 5 g Networks13
An Intelligent Framework for Oversubscription Management in CPU-GPU Unified Memory13
Stochastic Demands Oriented General Resource Scheduling With Burstable Resources13
A Novel Levy Walk-based Framework for Scheduling Power-intensive Mobile Edge Computing Tasks12
On-Chain and Off-Chain Data Management for Blockchain-Internet of Things: A Multi-Agent Deep Reinforcement Learning Approach12
A Secure IoT Applications Allocation Framework for Integrated Fog-Cloud Environment12
An Efficient Mobile Edge Computing based Resource Allocation using Optimal Double Weighted Support Vector Transfer Regression12
New Improved Multi-Objective Gorilla Troops Algorithm for Dependent Tasks Offloading problem in Multi-Access Edge Computing11
Markovian with Federated Deep Recurrent Neural Network for Edge—IoMT to Improve Healthcare in Smart Cities11
Efficient Data Offloading Using Markovian Decision on State Reward Action in Edge Computing11
Optimizing Resource Consumption and Reducing Power Usage in Data Centers, A Novel Mathematical VM Replacement Model and Efficient Algorithm11
Fuzzy Reinforcement Learning Algorithm for Efficient Task Scheduling in Fog-Cloud IoT-Based Systems11
Machine Learning Method with Applications in Hardware Security of Post-Quantum Cryptography11
Deep Learning Based Entropy Controlled Optimization for the Detection of Covid-1910
Cost-Aware Scheduling and Data Skew Alleviation for Big Data Processing in Heterogeneous Cloud Environment10
Dim Target Detection Method Based on Deep Learning in Complex Traffic Environment10
Collaborative Cloud-Edge-End Task Offloading in NOMA-Enabled Mobile Edge Computing Using Deep Learning10
Joint Task Dispatching and Bandwidth Allocation with Hard Deadlines in Distributed Serverless Edge Computing Systems10
Optimizing Workflow Offloading and Migration under Timed Constraints in Fog and Cloud Computing10
Adaptive Scheduling Framework of Streaming Applications based on Resource Demand Prediction with Hybrid Algorithms10
A Quasi-Oppositional Learning-based Fox Optimizer for QoS-aware Web Service Composition in Mobile Edge Computing10
A Combined Approach of PUF and Physiological Data for Mutual Authentication and Key Agreement in WMSN10
Hybrid Fuzzy Neural Network for Joint Task Offloading in the Internet of Vehicles10
Joint Task Offloading Based on Distributed Deep Reinforcement Learning-Based Genetic Optimization Algorithm for Internet of Vehicles10
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