Journal of Grid Computing

Papers
(The H4-Index of Journal of Grid Computing is 21. 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 2020-03-01 to 2024-03-01.)
ArticleCitations
A Survey on the Computation Offloading Approaches in Mobile Edge/Cloud Computing Environment: A Stochastic-based Perspective99
Towards Blockchain-Enabled Security Technique for Industrial Internet of Things Based Decentralized Applications47
Multi-Objective Task and Workflow Scheduling Approaches in Cloud Computing: a Comprehensive Review46
Smart Contracts for Service-Level Agreements in Edge-to-Cloud Computing30
Improved Butterfly Optimization Algorithm for Data Placement and Scheduling in Edge Computing Environments29
MiCADO-Edge: Towards an Application-level Orchestrator for the Cloud-to-Edge Computing Continuum29
A Hybrid Meta-Heuristic for Optimal Load Balancing in Cloud Computing29
An Evolutionary Computing-Based Efficient Hybrid Task Scheduling Approach for Heterogeneous Computing Environment29
Serverless Workflows for Containerised Applications in the Cloud Continuum25
Big Data-Aware Intrusion Detection System in Communication Networks: a Deep Learning Approach24
Ultra-Reliable and Low-Latency Computing in the Edge with Kubernetes24
Benchmarking Serverless Computing Platforms24
Context-Aware Multi-User Offloading in Mobile Edge Computing: a Federated Learning-Based Approach23
Energy and Makespan Aware Scheduling of Deadline Sensitive Tasks in the Cloud Environment23
Estimating CT from MR Abdominal Images Using Novel Generative Adversarial Networks23
Blockchain-Based Cache Poisoning Security Protection and Privacy-Aware Access Control in NDN Vehicular Edge Computing Networks22
A High Reliable Computing Offloading Strategy Using Deep Reinforcement Learning for IoVs in Edge Computing22
Automated Analysis of Distributed Tracing: Challenges and Research Directions22
A Computing Offloading Resource Allocation Scheme Using Deep Reinforcement Learning in Mobile Edge Computing Systems21
A Secure IoT Applications Allocation Framework for Integrated Fog-Cloud Environment21
A QoS-Aware IoT Service Placement Mechanism in Fog Computing Based on Open-Source Development Model21
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