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 2022-08-01 to 2026-08-01.)
ArticleCitations
A Load-Aware Energy-Efficient Clustering Algorithm in Sensor-Cloud62
ICSMPC: Design of an Iterative-Learning Contextual Side Chaining Model for Improving Security of Priority-Aware Cloud Resources60
An Effective Prediction of Resource Using Machine Learning in Edge Environments for the Smart Healthcare Industry47
Placement Combination between Heterogeneous Services and Heterogeneous Capacitated Servers in Edge Computing41
Cloud–Edge Collaborative Object Detection and Semantic Segmentation in Intelligent Transportation Systems37
Exploring the Synergy of Blockchain, IoT, and Edge Computing in Smart Traffic Management across Urban Landscapes37
Optimizing Computation Offloading in IoV Environments: A Hybrid Learning Automata and Deep Recurrent Q-Network Approach37
Adversarial Attacks on Visual Objects Using the Fast Gradient Sign Method34
Edge Computing Empowered Smart Healthcare: Monitoring and Diagnosis with Deep Learning Methods33
Healthcare and Fitness Services: A Comprehensive Assessment of Blockchain, IoT, and Edge Computing in Smart Cities30
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 Models28
Energy-Constrained DAG Scheduling on Edge and Cloud Servers with Overlapped Communication and Computation26
A Federated Framework for Edge Computing Devices with Collaborative Fairness and Adversarial Robustness26
Energy-Efficient and Load-Aware VM Placement in Cloud Data Centers26
A Market-based Framework for Resource Management in Cloud Federation26
Mayfly Taylor Optimization-Based Graph Attention Network for Task Scheduling in Edge Computing26
Enhancing Machine Learning-Based Autoscaling for Cloud Resource Orchestration25
Blockchain Assisted Cloud Security and Privacy Preservation using Hybridized Encryption and Deep Learning Mechanism in IoT-Healthcare Application25
Signature-based Adaptive Cloud Resource Usage Prediction Using Machine Learning and Anomaly Detection24
Anti-Attack Intrusion Detection Model Based on MPNN and Traffic Spatiotemporal Characteristics24
Decentralized AI-Based Task Distribution on Blockchain for Cloud Industrial Internet of Things24
SLA-based Multi-dimensional Trust Model for Fog Computing Environments24
Adaptive Resource Scheduling in Multi-Cloud Computing Using Recurrent Neural Forecasting and Memory-Based Metaheuristic Optimization23
Assessing the Complexity of Cloud Pricing Policies: A Comparative Market Analysis22
Deep Learning-Based Multi-Domain Framework for End-to-End Services in 5G Networks22
Interfering Spatiotemporal Features and Causes of Bus Bunching using Empirical GPS Trajectory Data21
Novel Transformation Deep Learning Model for Electrocardiogram Classification and Arrhythmia Detection using Edge Computing21
Deep Reinforcement Learning and Markov Decision Problem for Task Offloading in Mobile Edge Computing20
AI-Driven Task Scheduling Strategy with Blockchain Integration for Edge Computing20
Correction: Enabling Configurable Workflows in Smart Environments with Knowledge-based Process Fragment Reuse19
Multi-Agent Systems for Collaborative Inference Based on Deep Policy Q-Inference Network19
Smart Financial Investor’s Risk Prediction System Using Mobile Edge Computing18
A Heuristic Deep Q Learning for Offloading in Edge Devices in 5 g Networks18
An Intelligent Framework for Oversubscription Management in CPU-GPU Unified Memory18
Correction: An Improved Heat Transfer Relation-based Optimization Algorithm for Energy-Efficient Internet of Things’ Resource Allocation17
MacroCarbon: A CVaR-Constrained Grid Resource Broker for Agentic LLM DAG Workflows on Geo-Distributed Heterogeneous Computing Grids17
Cognitive Computing Continuum: State-of-the-Art Review and ENACT Vision & Approach17
A Hybrid Scheduling for Multi-Objective Optimization using Prediction Approach16
A Novel Levy Walk-based Framework for Scheduling Power-intensive Mobile Edge Computing Tasks16
Plaintext Related Optical Image Hybrid Encryption Based on Fractional Fourier Transform and Generalized Chaos of Multiple Controlling Parameters16
Analysis of Mobile Communication Network Architecture Based on SDN16
An Efficient Mobile Edge Computing based Resource Allocation using Optimal Double Weighted Support Vector Transfer Regression15
Machine Learning Method with Applications in Hardware Security of Post-Quantum Cryptography15
Markovian with Federated Deep Recurrent Neural Network for Edge—IoMT to Improve Healthcare in Smart Cities15
On-Chain and Off-Chain Data Management for Blockchain-Internet of Things: A Multi-Agent Deep Reinforcement Learning Approach15
Efficient Data Offloading Using Markovian Decision on State Reward Action in Edge Computing14
Event-Driven Neuromorphic-Inspired Task Offloading for Energy-Efficient Edge-IoT Systems14
Adaptive Scheduling Framework of Streaming Applications based on Resource Demand Prediction with Hybrid Algorithms14
Fuzzy Reinforcement Learning Algorithm for Efficient Task Scheduling in Fog-Cloud IoT-Based Systems14
KubeIntellect: A Modular LLM-Orchestrated Agent Framework for End-to-End Kubernetes Management14
A Quasi-Oppositional Learning-based Fox Optimizer for QoS-aware Web Service Composition in Mobile Edge Computing14
Optimizing Resource Consumption and Reducing Power Usage in Data Centers, A Novel Mathematical VM Replacement Model and Efficient Algorithm14
New Improved Multi-Objective Gorilla Troops Algorithm for Dependent Tasks Offloading problem in Multi-Access Edge Computing14
Joint Task Offloading Based on Distributed Deep Reinforcement Learning-Based Genetic Optimization Algorithm for Internet of Vehicles13
Optimizing Workflow Offloading and Migration under Timed Constraints in Fog and Cloud Computing13
VRRT–DCM: Low–Latency Edge–Cloud Sensor Analytics for Real–Time Violin Performance under 6G–Inspired Architectures13
Hybrid Fuzzy Neural Network for Joint Task Offloading in the Internet of Vehicles13
Deep Learning Based Entropy Controlled Optimization for the Detection of Covid-1913
Cost-Aware Scheduling and Data Skew Alleviation for Big Data Processing in Heterogeneous Cloud Environment13
Joint Task Dispatching and Bandwidth Allocation with Hard Deadlines in Distributed Serverless Edge Computing Systems13
A Combined Approach of PUF and Physiological Data for Mutual Authentication and Key Agreement in WMSN13
DEEPBIN: Deep Learning Based Garbage Classification for Households Using Sustainable Natural Technologies13
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