Journal of Grid Computing

Papers
(The TQCC of Journal of Grid Computing is 13. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
A Load-Aware Energy-Efficient Clustering Algorithm in Sensor-Cloud60
ICSMPC: Design of an Iterative-Learning Contextual Side Chaining Model for Improving Security of Priority-Aware Cloud Resources53
An Effective Prediction of Resource Using Machine Learning in Edge Environments for the Smart Healthcare Industry45
Healthcare and Fitness Services: A Comprehensive Assessment of Blockchain, IoT, and Edge Computing in Smart Cities42
Placement Combination between Heterogeneous Services and Heterogeneous Capacitated Servers in Edge Computing36
Exploring the Synergy of Blockchain, IoT, and Edge Computing in Smart Traffic Management across Urban Landscapes35
Edge Computing Empowered Smart Healthcare: Monitoring and Diagnosis with Deep Learning Methods34
Cloud–Edge Collaborative Object Detection and Semantic Segmentation in Intelligent Transportation Systems32
Adversarial Attacks on Visual Objects Using the Fast Gradient Sign Method31
Energy-Efficient and Load-Aware VM Placement in Cloud Data Centers28
Proximal Policy Optimization for Vehicular Big Data Offloading Across Edge, Regional, and Cloud Layers28
Optimizing Accounting Informatization through Simultaneous Multi-Tasking across Edge and Cloud Devices using Hybrid Machine Learning Models25
A Federated Framework for Edge Computing Devices with Collaborative Fairness and Adversarial Robustness24
Mayfly Taylor Optimization-Based Graph Attention Network for Task Scheduling in Edge Computing24
Energy-Constrained DAG Scheduling on Edge and Cloud Servers with Overlapped Communication and Computation24
Blockchain Assisted Cloud Security and Privacy Preservation using Hybridized Encryption and Deep Learning Mechanism in IoT-Healthcare Application23
Enhancing Machine Learning-Based Autoscaling for Cloud Resource Orchestration23
A Market-based Framework for Resource Management in Cloud Federation23
Anti-Attack Intrusion Detection Model Based on MPNN and Traffic Spatiotemporal Characteristics23
SLA-based Multi-dimensional Trust Model for Fog Computing Environments22
Adaptive Resource Scheduling in Multi-Cloud Computing Using Recurrent Neural Forecasting and Memory-Based Metaheuristic Optimization21
Decentralized AI-Based Task Distribution on Blockchain for Cloud Industrial Internet of Things20
Multi-Agent Systems for Collaborative Inference Based on Deep Policy Q-Inference Network20
Signature-based Adaptive Cloud Resource Usage Prediction Using Machine Learning and Anomaly Detection20
Deep Learning-Based Multi-Domain Framework for End-to-End Services in 5G Networks20
Deep Reinforcement Learning and Markov Decision Problem for Task Offloading in Mobile Edge Computing19
Assessing the Complexity of Cloud Pricing Policies: A Comparative Market Analysis19
Interfering Spatiotemporal Features and Causes of Bus Bunching using Empirical GPS Trajectory Data19
AI-Driven Task Scheduling Strategy with Blockchain Integration for Edge Computing19
Novel Transformation Deep Learning Model for Electrocardiogram Classification and Arrhythmia Detection using Edge Computing19
Conformance-oriented Predictive Process Monitoring in BPaaS Based on Combination of Neural Networks18
Cognitive Computing Continuum: State-of-the-Art Review and ENACT Vision & Approach18
Correction: Enabling Configurable Workflows in Smart Environments with Knowledge-based Process Fragment Reuse18
A Heuristic Deep Q Learning for Offloading in Edge Devices in 5 g Networks17
An Intelligent Framework for Oversubscription Management in CPU-GPU Unified Memory17
Smart Financial Investor’s Risk Prediction System Using Mobile Edge Computing17
On-Chain and Off-Chain Data Management for Blockchain-Internet of Things: A Multi-Agent Deep Reinforcement Learning Approach16
Analysis of Mobile Communication Network Architecture Based on SDN16
An Efficient Mobile Edge Computing based Resource Allocation using Optimal Double Weighted Support Vector Transfer Regression16
New Improved Multi-Objective Gorilla Troops Algorithm for Dependent Tasks Offloading problem in Multi-Access Edge Computing15
A Novel Levy Walk-based Framework for Scheduling Power-intensive Mobile Edge Computing Tasks15
Fuzzy Reinforcement Learning Algorithm for Efficient Task Scheduling in Fog-Cloud IoT-Based Systems15
Plaintext Related Optical Image Hybrid Encryption Based on Fractional Fourier Transform and Generalized Chaos of Multiple Controlling Parameters15
A Hybrid Scheduling for Multi-Objective Optimization using Prediction Approach15
Markovian with Federated Deep Recurrent Neural Network for Edge—IoMT to Improve Healthcare in Smart Cities14
Machine Learning Method with Applications in Hardware Security of Post-Quantum Cryptography14
Optimizing Resource Consumption and Reducing Power Usage in Data Centers, A Novel Mathematical VM Replacement Model and Efficient Algorithm14
Efficient Data Offloading Using Markovian Decision on State Reward Action in Edge Computing14
Deep Learning Based Entropy Controlled Optimization for the Detection of Covid-1913
A Quasi-Oppositional Learning-based Fox Optimizer for QoS-aware Web Service Composition in Mobile Edge Computing13
Cost-Aware Scheduling and Data Skew Alleviation for Big Data Processing in Heterogeneous Cloud Environment13
VRRT–DCM: Low–Latency Edge–Cloud Sensor Analytics for Real–Time Violin Performance under 6G–Inspired Architectures13
Adaptive Scheduling Framework of Streaming Applications based on Resource Demand Prediction with Hybrid Algorithms13
Joint Task Offloading Based on Distributed Deep Reinforcement Learning-Based Genetic Optimization Algorithm for Internet of Vehicles13
A Self-Adaptive Intrusion Detection System for Securing UAV-to-UAV Communications Based on the Human Immune System in UAV Networks13
Hybrid Fuzzy Neural Network for Joint Task Offloading in the Internet of Vehicles13
Joint Task Dispatching and Bandwidth Allocation with Hard Deadlines in Distributed Serverless Edge Computing Systems13
DEEPBIN: Deep Learning Based Garbage Classification for Households Using Sustainable Natural Technologies13
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