Journal of Grid Computing

Papers
(The TQCC of Journal of Grid Computing is 8. 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.)
ArticleCitations
A Correlation Based Recommendation System for Large Data Sets49
Cloud Resource Demand Prediction using Machine Learning in the Context of QoS Parameters48
Software License Consolidation and Resource Optimization in Container-based Virtualized Data Centers48
ICSMPC: Design of an Iterative-Learning Contextual Side Chaining Model for Improving Security of Priority-Aware Cloud Resources47
An Effective Prediction of Resource Using Machine Learning in Edge Environments for the Smart Healthcare Industry40
A Load-Aware Energy-Efficient Clustering Algorithm in Sensor-Cloud38
Distributed and Decentralized Orchestration of Containers on Edge Clouds37
Enhancing the Reuse of Scientific Experiments for Agricultural Software Ecosystems34
Healthcare and Fitness Services: A Comprehensive Assessment of Blockchain, IoT, and Edge Computing in Smart Cities31
A Survey of Service Placement in Cloud Environments31
Edge Computing Empowered Smart Healthcare: Monitoring and Diagnosis with Deep Learning Methods30
Placement Combination between Heterogeneous Services and Heterogeneous Capacitated Servers in Edge Computing29
Exploring the Synergy of Blockchain, IoT, and Edge Computing in Smart Traffic Management across Urban Landscapes28
Adversarial Attacks on Visual Objects Using the Fast Gradient Sign Method27
Energy-Efficient and Load-Aware VM Placement in Cloud Data Centers24
Energy-Constrained DAG Scheduling on Edge and Cloud Servers with Overlapped Communication and Computation23
Optimizing Accounting Informatization through Simultaneous Multi-Tasking across Edge and Cloud Devices using Hybrid Machine Learning Models23
Correction to: Improved Butterfly Optimization Algorithm for Data Placement and Scheduling in Edge Computing Environments22
A Market-based Framework for Resource Management in Cloud Federation22
Enhancing Machine Learning-Based Autoscaling for Cloud Resource Orchestration21
A Federated Framework for Edge Computing Devices with Collaborative Fairness and Adversarial Robustness21
Mayfly Taylor Optimization-Based Graph Attention Network for Task Scheduling in Edge Computing21
Blockchain Assisted Cloud Security and Privacy Preservation using Hybridized Encryption and Deep Learning Mechanism in IoT-Healthcare Application20
Computing Offloading Strategy Using Improved Genetic Algorithm in Mobile Edge Computing System20
Anti-Attack Intrusion Detection Model Based on MPNN and Traffic Spatiotemporal Characteristics19
A Review of Machine Learning Network in Human Motion Biomechanics19
Signature-based Adaptive Cloud Resource Usage Prediction Using Machine Learning and Anomaly Detection16
SLA-based Multi-dimensional Trust Model for Fog Computing Environments16
Decentralized AI-Based Task Distribution on Blockchain for Cloud Industrial Internet of Things14
Conformance-oriented Predictive Process Monitoring in BPaaS Based on Combination of Neural Networks14
Deep Learning-Based Multi-Domain Framework for End-to-End Services in 5G Networks14
Assessing the Complexity of Cloud Pricing Policies: A Comparative Market Analysis14
AI-Driven Task Scheduling Strategy with Blockchain Integration for Edge Computing13
Novel Transformation Deep Learning Model for Electrocardiogram Classification and Arrhythmia Detection using Edge Computing13
Secondary Pulmonary Tuberculosis Identification Via pseudo-Zernike Moment and Deep Stacked Sparse Autoencoder13
Interfering Spatiotemporal Features and Causes of Bus Bunching using Empirical GPS Trajectory Data13
Deep Reinforcement Learning and Markov Decision Problem for Task Offloading in Mobile Edge Computing13
Multi-Agent Systems for Collaborative Inference Based on Deep Policy Q-Inference Network13
A Formal Approach for the Identification of Authorization Policy Conflicts within Multi-Cloud Environments12
A Heuristic Deep Q Learning for Offloading in Edge Devices in 5 g Networks11
Smart Financial Investor’s Risk Prediction System Using Mobile Edge Computing11
A QoS-Aware IoT Service Placement Mechanism in Fog Computing Based on Open-Source Development Model11
An Adaptive Hierarchical Concatenated Network With A Robust Loss Function For Image Denoising11
An Intelligent Framework for Oversubscription Management in CPU-GPU Unified Memory11
An Efficient Mobile Edge Computing based Resource Allocation using Optimal Double Weighted Support Vector Transfer Regression10
EPMA: Elastic Platform for Microservices-based Applications: Towards Optimal Resource Elasticity10
On-Chain and Off-Chain Data Management for Blockchain-Internet of Things: A Multi-Agent Deep Reinforcement Learning Approach10
Stochastic Demands Oriented General Resource Scheduling With Burstable Resources10
Correction: Enabling Configurable Workflows in Smart Environments with Knowledge-based Process Fragment Reuse10
Analysis of Mobile Communication Network Architecture Based on SDN10
A Secure IoT Applications Allocation Framework for Integrated Fog-Cloud Environment10
Plaintext Related Optical Image Hybrid Encryption Based on Fractional Fourier Transform and Generalized Chaos of Multiple Controlling Parameters9
Machine Learning Method with Applications in Hardware Security of Post-Quantum Cryptography9
New Improved Multi-Objective Gorilla Troops Algorithm for Dependent Tasks Offloading problem in Multi-Access Edge Computing9
A Novel Levy Walk-based Framework for Scheduling Power-intensive Mobile Edge Computing Tasks9
Study-based Systematic Mapping Analysis of Cloud Technologies for Leveraging IT Resource and Service Management: The Case Study of the Science Gateway Approach9
Markovian with Federated Deep Recurrent Neural Network for Edge—IoMT to Improve Healthcare in Smart Cities9
Fuzzy Reinforcement Learning Algorithm for Efficient Task Scheduling in Fog-Cloud IoT-Based Systems9
Optimizing Resource Consumption and Reducing Power Usage in Data Centers, A Novel Mathematical VM Replacement Model and Efficient Algorithm9
Adaptive Scheduling Framework of Streaming Applications based on Resource Demand Prediction with Hybrid Algorithms8
A Survey on Auction based Approaches for Resource Allocation and Pricing in Emerging Edge Technologies8
Cost-Aware Scheduling and Data Skew Alleviation for Big Data Processing in Heterogeneous Cloud Environment8
A Quasi-Oppositional Learning-based Fox Optimizer for QoS-aware Web Service Composition in Mobile Edge Computing8
Collaborative Cloud-Edge-End Task Offloading in NOMA-Enabled Mobile Edge Computing Using Deep Learning8
Joint Task Offloading Based on Distributed Deep Reinforcement Learning-Based Genetic Optimization Algorithm for Internet of Vehicles8
Joint Task Dispatching and Bandwidth Allocation with Hard Deadlines in Distributed Serverless Edge Computing Systems8
Efficient Data Offloading Using Markovian Decision on State Reward Action in Edge Computing8
Deep Learning Based Entropy Controlled Optimization for the Detection of Covid-198
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