OOIR: Observatory of International Research

Papers

(The median citation count of Journal of Grid Computing is 7. 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 2022-05-01 to 2026-05-01.)

Article	Citations
A Load-Aware Energy-Efficient Clustering Algorithm in Sensor-Cloud	60
ICSMPC: Design of an Iterative-Learning Contextual Side Chaining Model for Improving Security of Priority-Aware Cloud Resources	53
An Effective Prediction of Resource Using Machine Learning in Edge Environments for the Smart Healthcare Industry	43
Healthcare and Fitness Services: A Comprehensive Assessment of Blockchain, IoT, and Edge Computing in Smart Cities	42
Placement Combination between Heterogeneous Services and Heterogeneous Capacitated Servers in Edge Computing	36
Adversarial Attacks on Visual Objects Using the Fast Gradient Sign Method	34
Exploring the Synergy of Blockchain, IoT, and Edge Computing in Smart Traffic Management across Urban Landscapes	33
Edge Computing Empowered Smart Healthcare: Monitoring and Diagnosis with Deep Learning Methods	32
Cloud–Edge Collaborative Object Detection and Semantic Segmentation in Intelligent Transportation Systems	28
Energy-Efficient and Load-Aware VM Placement in Cloud Data Centers	28
Optimizing Accounting Informatization through Simultaneous Multi-Tasking across Edge and Cloud Devices using Hybrid Machine Learning Models	27
Energy-Constrained DAG Scheduling on Edge and Cloud Servers with Overlapped Communication and Computation	25
Proximal Policy Optimization for Vehicular Big Data Offloading Across Edge, Regional, and Cloud Layers	24
Mayfly Taylor Optimization-Based Graph Attention Network for Task Scheduling in Edge Computing	24
Blockchain Assisted Cloud Security and Privacy Preservation using Hybridized Encryption and Deep Learning Mechanism in IoT-Healthcare Application	24
A Market-based Framework for Resource Management in Cloud Federation	23
Enhancing Machine Learning-Based Autoscaling for Cloud Resource Orchestration	23
A Federated Framework for Edge Computing Devices with Collaborative Fairness and Adversarial Robustness	23
Anti-Attack Intrusion Detection Model Based on MPNN and Traffic Spatiotemporal Characteristics	21
SLA-based Multi-dimensional Trust Model for Fog Computing Environments	21
Signature-based Adaptive Cloud Resource Usage Prediction Using Machine Learning and Anomaly Detection	21
Deep Learning-Based Multi-Domain Framework for End-to-End Services in 5G Networks	20
Decentralized AI-Based Task Distribution on Blockchain for Cloud Industrial Internet of Things	20
Interfering Spatiotemporal Features and Causes of Bus Bunching using Empirical GPS Trajectory Data	20
Adaptive Resource Scheduling in Multi-Cloud Computing Using Recurrent Neural Forecasting and Memory-Based Metaheuristic Optimization	20

Conformance-oriented Predictive Process Monitoring in BPaaS Based on Combination of Neural Networks	19
Multi-Agent Systems for Collaborative Inference Based on Deep Policy Q-Inference Network	19
Assessing the Complexity of Cloud Pricing Policies: A Comparative Market Analysis	19
Novel Transformation Deep Learning Model for Electrocardiogram Classification and Arrhythmia Detection using Edge Computing	19
Deep Reinforcement Learning and Markov Decision Problem for Task Offloading in Mobile Edge Computing	18
Correction: Enabling Configurable Workflows in Smart Environments with Knowledge-based Process Fragment Reuse	18
AI-Driven Task Scheduling Strategy with Blockchain Integration for Edge Computing	18
Cognitive Computing Continuum: State-of-the-Art Review and ENACT Vision & Approach	17
An Intelligent Framework for Oversubscription Management in CPU-GPU Unified Memory	17
A Heuristic Deep Q Learning for Offloading in Edge Devices in 5 g Networks	17
A Formal Approach for the Identification of Authorization Policy Conflicts within Multi-Cloud Environments	16
Analysis of Mobile Communication Network Architecture Based on SDN	16
Smart Financial Investor’s Risk Prediction System Using Mobile Edge Computing	16
A Novel Levy Walk-based Framework for Scheduling Power-intensive Mobile Edge Computing Tasks	16
An Efficient Mobile Edge Computing based Resource Allocation using Optimal Double Weighted Support Vector Transfer Regression	15
Plaintext Related Optical Image Hybrid Encryption Based on Fractional Fourier Transform and Generalized Chaos of Multiple Controlling Parameters	15
A Hybrid Scheduling for Multi-Objective Optimization using Prediction Approach	15
Machine Learning Method with Applications in Hardware Security of Post-Quantum Cryptography	14
New Improved Multi-Objective Gorilla Troops Algorithm for Dependent Tasks Offloading problem in Multi-Access Edge Computing	14
Markovian with Federated Deep Recurrent Neural Network for Edge—IoMT to Improve Healthcare in Smart Cities	14
On-Chain and Off-Chain Data Management for Blockchain-Internet of Things: A Multi-Agent Deep Reinforcement Learning Approach	14
Optimizing Resource Consumption and Reducing Power Usage in Data Centers, A Novel Mathematical VM Replacement Model and Efficient Algorithm	14
A Quasi-Oppositional Learning-based Fox Optimizer for QoS-aware Web Service Composition in Mobile Edge Computing	13
Deep Learning Based Entropy Controlled Optimization for the Detection of Covid-19	13
Fuzzy Reinforcement Learning Algorithm for Efficient Task Scheduling in Fog-Cloud IoT-Based Systems	13
Joint Task Dispatching and Bandwidth Allocation with Hard Deadlines in Distributed Serverless Edge Computing Systems	13
Hybrid Fuzzy Neural Network for Joint Task Offloading in the Internet of Vehicles	13
Efficient Data Offloading Using Markovian Decision on State Reward Action in Edge Computing	13
Joint Task Offloading Based on Distributed Deep Reinforcement Learning-Based Genetic Optimization Algorithm for Internet of Vehicles	13
Adaptive Scheduling Framework of Streaming Applications based on Resource Demand Prediction with Hybrid Algorithms	13
K-AGRUED: A Container Autoscaling Technique for Cloud-based Web Applications in Kubernetes Using Attention-based GRU Encoder-Decoder	12
DEEPBIN: Deep Learning Based Garbage Classification for Households Using Sustainable Natural Technologies	12
Cost-Aware Scheduling and Data Skew Alleviation for Big Data Processing in Heterogeneous Cloud Environment	12
Adaptive Terrain Spider UWB Following Delivery Robot Based on Spring Suspension and Edge Computing	12
Optimizing Workflow Offloading and Migration under Timed Constraints in Fog and Cloud Computing	12
A Self-Adaptive Intrusion Detection System for Securing UAV-to-UAV Communications Based on the Human Immune System in UAV Networks	12
A Combined Approach of PUF and Physiological Data for Mutual Authentication and Key Agreement in WMSN	12
Adaptive Resource Allocation for Cloud-native Microservice via Meta-learning and Hyper-heuristic Algorithms	11
A Blockchain-Based Architecture for Trust in Collaborative Scientific Experimentation	11
An IoT-based Covid-19 Healthcare Monitoring and Prediction Using Deep Learning Methods	11
Cerebrum: A Proactive Federated Learning Framework for Multi-Objective Edge Workflow Scheduling	11
On the Performance of Geospatial Services Deployment: An Experimental Benchmark Analysis	11
Network-Aware Optimization for Efficient Data Placement in Geo-Distributed Cloud Systems	11
Integration of a Lightweight Customized 2D CNN Model to an Edge Computing System for Real-Time Multiple Gesture Recognition	11
Smart Caching in a Data Lake for High Energy Physics Analysis	10
Resource Utilization Based on Hybrid WOA-LOA Optimization with Credit Based Resource Aware Load Balancing and Scheduling Algorithm for Cloud Computing	10
Contract-based Cooperative Computation and Communication Resources Sharing in Mobile Edge Computing	10
A Real-Time Partition Generation Mechanism for Data Skew Mitigation in Spark Computing Environment	10
Performance Evaluation of Hybrid Cloud-Fog Computing Architectures in Smart Home IoT Environments: A Comparative Simulation Study Across Multiple Tools	10
Energy-Aware and Mobility-Driven Computation Offloading in MEC	10

A Federated Deep Reinforcement Learning-based Low-power Caching Strategy for Cloud-edge Collaboration	10
Secure Authentication and Reliable Cloud Storage Scheme for IoT-Edge-Cloud Integration	10
CJSpector: A Novel Cryptojacking Detection Method Using Hardware Trace and Deep Learning	9
3D Lidar Target Detection Method at the Edge for the Cloud Continuum	9
Workload Time Series Cumulative Prediction Mechanism for Cloud Resources Using Neural Machine Translation Technique	9
An Authentication-Based Secure Data Aggregation Method in Internet of Things	9
Improving Dynamic Placement of Virtual Machines in Cloud Data Centers Based on Open-Source Development Model Algorithm	9
Secure Computation Offloading Using Enhanced Genetic Algorithm for Ocean IoT	9
DRL-based and Bsld-Aware Job Scheduling for Apache Spark Cluster in Hybrid Cloud Computing Environments	9
Smart City Transportation: A VANET Edge Computing Model to Minimize Latency and Delay Utilizing 5G Network	9
A Lightweight Trajectory Aware Application Placement in IoT-Fog-Cloud Environment	9
Building a Performance Efficient Core Banking System Based on the Microservices Architecture	8
Computing Resources Scalability Performance Analysis in Cloud Computing Data Center	8
MapReduce with Deep Learning Framework for Student Health Monitoring System using IoT Technology for Big Data	8
Power Modeling for Energy-Efficient Resource Management in a Cloud Data Center	8
IoT Based Virtual E-Learning System for Sustainable Development of Smart Cities	8
An Efficient Hybrid Scheduling Framework for Optimal Workload Execution in Federated Clouds to Maintain Performance SLAs	8
A Cost-Efficient Workflow as a Service Broker Using On-demand and Spot Instances	8
Employing RNN and Petri Nets to Secure Edge Computing Threats in Smart Cities	8
Resource Allocation Using Deep Deterministic Policy Gradient-Based Federated Learning for Multi-Access Edge Computing	8
QUANTUM Based Latency and Cost Aware Task Scheduling in a Multi-Cloud Environment	8
An Integrated Deep Learning Prediction Approach for Efficient Modelling of Host Load Patterns in Cloud Computing	8
EQGSA-DPW: A Quantum-GSA Algorithm-Based Data Placement for Scientific Workflow in Cloud Computing Environment	8
Adaptive Multi-Objective Virtual Machine Consolidation for Energy-Efficient Cloud Data Centers	8
Parking Cooperation-Based Mobile Edge Computing Using Task Offloading Strategy	7
GQAT-Net: A Calibrated Attention Model for Failure Prediction in Large-Scale Distributed Systems	7
Dueling Double Deep Q Network Strategy in MEC for Smart Internet of Vehicles Edge Computing Networks	7
Data-Driven Adaptive Prediction of Cloud Resource Usage	7
Pod Scheduling and Proactive Resource Management in an Edge Cluster using MCDM and Federated Learning	7
Energy-aware Scheduling Algorithm for Microservices in Kubernetes Clouds	7
OTM: An Efficient Task Management and Offloading Scheme Using Proximity-Based Clustering, Fuzzy Logic, and Optimization in Edge-Cloud IoT Systems	7
DPark: Decentralized Smart Private-Parking System using Blockchains	7
HRNN: Hypergraph Recurrent Neural Network for Network Intrusion Detection	7
The Goodness of Nesting Containers in Virtual Machines for Server Consolidation	7
A Novel Approach to Cloud Resource Management: Hybrid Machine Learning and Task Scheduling	7
CMK: Enhancing Resource Usage Monitoring across Diverse Bioinformatics Workflow Management Systems	7
Resource-Efficient and Quality-Aware Virtual Machine Consolidation Method	7
Multicriteria-based Resource-Aware Scheduling in Mobile Crowd Computing: A Heuristic Approach	7
Federated-Learning-based Decision Support for Industrial Internet of Things (IIoT)-based Printed Circuit Board Assembly Process	7