Journal of Grid Computing

Papers
(The median citation count of Journal of Grid Computing is 4. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
A Correlation Based Recommendation System for Large Data Sets52
ICSMPC: Design of an Iterative-Learning Contextual Side Chaining Model for Improving Security of Priority-Aware Cloud Resources50
An Effective Prediction of Resource Using Machine Learning in Edge Environments for the Smart Healthcare Industry49
A Load-Aware Energy-Efficient Clustering Algorithm in Sensor-Cloud41
Software License Consolidation and Resource Optimization in Container-based Virtualized Data Centers41
Edge Computing Empowered Smart Healthcare: Monitoring and Diagnosis with Deep Learning Methods33
Enhancing the Reuse of Scientific Experiments for Agricultural Software Ecosystems33
Adversarial Attacks on Visual Objects Using the Fast Gradient Sign Method31
Healthcare and Fitness Services: A Comprehensive Assessment of Blockchain, IoT, and Edge Computing in Smart Cities30
Exploring the Synergy of Blockchain, IoT, and Edge Computing in Smart Traffic Management across Urban Landscapes28
Placement Combination between Heterogeneous Services and Heterogeneous Capacitated Servers in Edge Computing27
Energy-Efficient and Load-Aware VM Placement in Cloud Data Centers26
Optimizing Accounting Informatization through Simultaneous Multi-Tasking across Edge and Cloud Devices using Hybrid Machine Learning Models25
Energy-Constrained DAG Scheduling on Edge and Cloud Servers with Overlapped Communication and Computation22
Mayfly Taylor Optimization-Based Graph Attention Network for Task Scheduling in Edge Computing21
A Federated Framework for Edge Computing Devices with Collaborative Fairness and Adversarial Robustness21
Computing Offloading Strategy Using Improved Genetic Algorithm in Mobile Edge Computing System19
Enhancing Machine Learning-Based Autoscaling for Cloud Resource Orchestration19
A Market-based Framework for Resource Management in Cloud Federation18
Blockchain Assisted Cloud Security and Privacy Preservation using Hybridized Encryption and Deep Learning Mechanism in IoT-Healthcare Application17
A Review of Machine Learning Network in Human Motion Biomechanics17
Decentralized AI-Based Task Distribution on Blockchain for Cloud Industrial Internet of Things16
Signature-based Adaptive Cloud Resource Usage Prediction Using Machine Learning and Anomaly Detection16
Conformance-oriented Predictive Process Monitoring in BPaaS Based on Combination of Neural Networks15
SLA-based Multi-dimensional Trust Model for Fog Computing Environments15
Deep Learning-Based Multi-Domain Framework for End-to-End Services in 5G Networks15
Anti-Attack Intrusion Detection Model Based on MPNN and Traffic Spatiotemporal Characteristics15
Multi-Agent Systems for Collaborative Inference Based on Deep Policy Q-Inference Network14
Assessing the Complexity of Cloud Pricing Policies: A Comparative Market Analysis14
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
Secondary Pulmonary Tuberculosis Identification Via pseudo-Zernike Moment and Deep Stacked Sparse Autoencoder13
AI-Driven Task Scheduling Strategy with Blockchain Integration for Edge Computing13
An Adaptive Hierarchical Concatenated Network With A Robust Loss Function For Image Denoising12
A Formal Approach for the Identification of Authorization Policy Conflicts within Multi-Cloud Environments12
An Intelligent Framework for Oversubscription Management in CPU-GPU Unified Memory12
Novel Transformation Deep Learning Model for Electrocardiogram Classification and Arrhythmia Detection using Edge Computing12
Analysis of Mobile Communication Network Architecture Based on SDN11
Correction: Enabling Configurable Workflows in Smart Environments with Knowledge-based Process Fragment Reuse11
Smart Financial Investor’s Risk Prediction System Using Mobile Edge Computing11
A Heuristic Deep Q Learning for Offloading in Edge Devices in 5 g Networks11
On-Chain and Off-Chain Data Management for Blockchain-Internet of Things: A Multi-Agent Deep Reinforcement Learning Approach11
A QoS-Aware IoT Service Placement Mechanism in Fog Computing Based on Open-Source Development Model11
Stochastic Demands Oriented General Resource Scheduling With Burstable Resources10
EPMA: Elastic Platform for Microservices-based Applications: Towards Optimal Resource Elasticity10
Optimizing Resource Consumption and Reducing Power Usage in Data Centers, A Novel Mathematical VM Replacement Model and Efficient Algorithm10
An Efficient Mobile Edge Computing based Resource Allocation using Optimal Double Weighted Support Vector Transfer Regression10
A Novel Levy Walk-based Framework for Scheduling Power-intensive Mobile Edge Computing Tasks10
Study-based Systematic Mapping Analysis of Cloud Technologies for Leveraging IT Resource and Service Management: The Case Study of the Science Gateway Approach10
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 Parameters10
Machine Learning Method with Applications in Hardware Security of Post-Quantum Cryptography9
Fuzzy Reinforcement Learning Algorithm for Efficient Task Scheduling in Fog-Cloud IoT-Based Systems9
Markovian with Federated Deep Recurrent Neural Network for Edge—IoMT to Improve Healthcare in Smart Cities9
New Improved Multi-Objective Gorilla Troops Algorithm for Dependent Tasks Offloading problem in Multi-Access Edge Computing9
A Survey on Auction based Approaches for Resource Allocation and Pricing in Emerging Edge Technologies8
Joint Task Offloading Based on Distributed Deep Reinforcement Learning-Based Genetic Optimization Algorithm for Internet of Vehicles8
Cost-Aware Scheduling and Data Skew Alleviation for Big Data Processing in Heterogeneous Cloud Environment8
Collaborative Cloud-Edge-End Task Offloading in NOMA-Enabled Mobile Edge Computing Using Deep Learning8
Efficient Data Offloading Using Markovian Decision on State Reward Action in Edge Computing8
A Quasi-Oppositional Learning-based Fox Optimizer for QoS-aware Web Service Composition in Mobile Edge Computing8
A Combined Approach of PUF and Physiological Data for Mutual Authentication and Key Agreement in WMSN8
Adaptive Scheduling Framework of Streaming Applications based on Resource Demand Prediction with Hybrid Algorithms8
Joint Task Dispatching and Bandwidth Allocation with Hard Deadlines in Distributed Serverless Edge Computing Systems8
Deep Learning Based Entropy Controlled Optimization for the Detection of Covid-198
Hybrid Fuzzy Neural Network for Joint Task Offloading in the Internet of Vehicles8
Optimizing Workflow Offloading and Migration under Timed Constraints in Fog and Cloud Computing7
Adaptive Terrain Spider UWB Following Delivery Robot Based on Spring Suspension and Edge Computing7
An IoT-based Covid-19 Healthcare Monitoring and Prediction Using Deep Learning Methods7
Smart Caching in a Data Lake for High Energy Physics Analysis7
A Self-Adaptive Intrusion Detection System for Securing UAV-to-UAV Communications Based on the Human Immune System in UAV Networks7
On the Performance of Geospatial Services Deployment: An Experimental Benchmark Analysis7
MiCADO-Edge: Towards an Application-level Orchestrator for the Cloud-to-Edge Computing Continuum7
Integration of a Lightweight Customized 2D CNN Model to an Edge Computing System for Real-Time Multiple Gesture Recognition7
Dim Target Detection Method Based on Deep Learning in Complex Traffic Environment7
DEEPBIN: Deep Learning Based Garbage Classification for Households Using Sustainable Natural Technologies7
K-AGRUED: A Container Autoscaling Technique for Cloud-based Web Applications in Kubernetes Using Attention-based GRU Encoder-Decoder7
A Blockchain-Based Architecture for Trust in Collaborative Scientific Experimentation7
Improving Dynamic Placement of Virtual Machines in Cloud Data Centers Based on Open-Source Development Model Algorithm6
Smart City Transportation: A VANET Edge Computing Model to Minimize Latency and Delay Utilizing 5G Network6
Performance Evaluation of Hybrid Cloud-Fog Computing Architectures in Smart Home IoT Environments: A Comparative Simulation Study Across Multiple Tools6
Secure Computation Offloading Using Enhanced Genetic Algorithm for Ocean IoT6
Contract-based Cooperative Computation and Communication Resources Sharing in Mobile Edge Computing6
CJSpector: A Novel Cryptojacking Detection Method Using Hardware Trace and Deep Learning6
Workload Time Series Cumulative Prediction Mechanism for Cloud Resources Using Neural Machine Translation Technique6
A Lightweight Trajectory Aware Application Placement in IoT-Fog-Cloud Environment6
A Real-Time Partition Generation Mechanism for Data Skew Mitigation in Spark Computing Environment6
Energy-Aware and Mobility-Driven Computation Offloading in MEC6
DRL-based and Bsld-Aware Job Scheduling for Apache Spark Cluster in Hybrid Cloud Computing Environments6
3D Lidar Target Detection Method at the Edge for the Cloud Continuum6
An Authentication-Based Secure Data Aggregation Method in Internet of Things6
A Federated Deep Reinforcement Learning-based Low-power Caching Strategy for Cloud-edge Collaboration6
Secure Authentication and Reliable Cloud Storage Scheme for IoT-Edge-Cloud Integration6
Resource Utilization Based on Hybrid WOA-LOA Optimization with Credit Based Resource Aware Load Balancing and Scheduling Algorithm for Cloud Computing6
A Cost-Efficient Workflow as a Service Broker Using On-demand and Spot Instances5
Building a Performance Efficient Core Banking System Based on the Microservices Architecture5
Employing RNN and Petri Nets to Secure Edge Computing Threats in Smart Cities5
IoT Based Virtual E-Learning System for Sustainable Development of Smart Cities5
Computing Resources Scalability Performance Analysis in Cloud Computing Data Center5
An Integrated Deep Learning Prediction Approach for Efficient Modelling of Host Load Patterns in Cloud Computing5
Brain Tumour Segmentation with a Muti-Pathway ResNet Based UNet5
MapReduce with Deep Learning Framework for Student Health Monitoring System using IoT Technology for Big Data5
Power Modeling for Energy-Efficient Resource Management in a Cloud Data Center5
An Efficient Hybrid Scheduling Framework for Optimal Workload Execution in Federated Clouds to Maintain Performance SLAs5
EQGSA-DPW: A Quantum-GSA Algorithm-Based Data Placement for Scientific Workflow in Cloud Computing Environment5
Resource Allocation Using Deep Deterministic Policy Gradient-Based Federated Learning for Multi-Access Edge Computing5
Adaptive Multi-Objective Virtual Machine Consolidation for Energy-Efficient Cloud Data Centers5
AI and Blockchain Assisted Framework for Offloading and Resource Allocation in Fog Computing4
Parking Cooperation-Based Mobile Edge Computing Using Task Offloading Strategy4
Dueling Double Deep Q Network Strategy in MEC for Smart Internet of Vehicles Edge Computing Networks4
Energy-aware Scheduling Algorithm for Microservices in Kubernetes Clouds4
The Goodness of Nesting Containers in Virtual Machines for Server Consolidation4
Mining Skyline Patterns from Big Data Environments based on a Spark Framework4
HyperGAC: Information Entropy-Driven Resource Allocation for Cloud-Edge-End Computing4
Federated-Learning-based Decision Support for Industrial Internet of Things (IIoT)-based Printed Circuit Board Assembly Process4
DPark: Decentralized Smart Private-Parking System using Blockchains4
FOCALB: Fog Computing Architecture of Load Balancing for Scientific Workflow Applications4
Big Data-Aware Intrusion Detection System in Communication Networks: a Deep Learning Approach4
Multicriteria-based Resource-Aware Scheduling in Mobile Crowd Computing: A Heuristic Approach4
Image Fuzzy Edge Information Segmentation Based on Computer Vision and Machine Learning4
CMK: Enhancing Resource Usage Monitoring across Diverse Bioinformatics Workflow Management Systems4
Resource-Efficient and Quality-Aware Virtual Machine Consolidation Method4
A Novel Approach to Cloud Resource Management: Hybrid Machine Learning and Task Scheduling4
HRNN: Hypergraph Recurrent Neural Network for Network Intrusion Detection4
Data-Driven Adaptive Prediction of Cloud Resource Usage4
A Package-Aware Approach for Function Scheduling in Serverless Computing Environments4
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