IEEE Transactions on Cloud Computing

Papers
(The H4-Index of IEEE Transactions on Cloud Computing is 42. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
Learning-Based Dynamic Memory Allocation Schemes for Apache Spark Data Processing201
An Efficient Delegatable Order-Revealing Encryption Scheme for Multi-User Range Queries154
Pricing and Budget Allocation for IoT Blockchain With Edge Computing137
Secure and Efficient Cloud-Based Multi-Party Private Set Intersection With Union Protocol136
Optimizing Cloud Data Lake Queries With a Balanced Coverage Plan134
Task Offloading for Deep Learning Empowered Automatic Speech Analysis in Mobile Edge-Cloud Computing Networks106
Polaris: Accelerating Asynchronous Federated Learning With Client Selection103
Accurate and Efficient Monitoring for Virtualized SDN in Clouds94
Budget-Feasible Clock Mechanism for Hierarchical Computation Offloading in Edge-Vehicle Collaborative Computing92
Pura: An Efficient Privacy-Preserving Solution for Face Recognition92
Distributed Energy Management for Multiple Data Centers With Renewable Resources and Energy Storages88
BPFGuard: Multi-Granularity Container Runtime Mandatory Access Control83
Efficient Online Computing Offloading for Budget- Constrained Cloud-Edge Collaborative Video Streaming Systems80
Branchy Deep Learning Based Real-Time Defect Detection Under Edge-Cloud Fusion Architecture80
An Efficient Identity-Based Encryption With Equality Test in Cloud Computing77
Extending Kubernetes Clusters to Low-Resource Edge Devices Using Virtual Kubelets73
A Privacy-Preserving JPEG Image Retrieval Scheme Using the Local Markov Feature and Bag-of-Words Model in Cloud Computing73
A Cloud-Edge Collaboration Framework for Cognitive Service72
Lattice-Based Revocable IBEET Scheme for Mobile Cloud Computing70
Cyclic Matrix Coding to Mitigate ACK Blocking of MPTCP in Data Center Networks70
Service Availability Analysis in a Virtualized System: A Markov Regenerative Model Approach67
DesFaaS: Cross-Layer Joint Dynamic Deployment System for Serverless Stateful Functions64
Congestion-Aware Critical Gradient Scheduling for Distributed Machine Learning in Data Center Networks63
A Dynamic Deep-Learning-Based Virtual Edge Node Placement Scheme for Edge Cloud Systems in Mobile Environment61
Modeling Resource Scheduling in Optical Switching DCNs Under Bursty and Skewed Traffic61
Enabling Simultaneous Content Regulation and Privacy Protection for Cloud Storage Image60
Efficient Online Scheduling for Coflow-Aware Machine Learning Clusters59
Joint Planning of Network Slicing and Mobile Edge Computing: Models and Algorithms55
Toward Secure Data Computation and Outsource for Multi-User Cloud-Based IoT54
An End-Cloud Collaborated Framework for Transferable Non-Intrusive Load Monitoring52
CRTSE: Clustering and Reinforcement Learning Based Task Scheduling Algorithm for Edge Computing52
Similarity Search for Encrypted Images in Secure Cloud Computing52
PerfSim: A Performance Simulator for Cloud Native Microservice Chains49
PPEC: A Privacy-Preserving, Cost-Effective Incremental Density Peak Clustering Analysis on Encrypted Outsourced Data48
Transfer Reinforcement Learning for Adaptive Task Offloading Over Distributed Edge Clouds48
Deadline-Aware Online Job Scheduling for Distributed Training in Heterogeneous Clusters48
SVD: A Scalable Virtual Machine Disk Format47
A Two-stage Multi-population Genetic Algorithm with Heuristics for Workflow Scheduling in Heterogeneous Distributed Computing Environments46
Minimizing Response Delay in UAV-Assisted Mobile Edge Computing by Joint UAV Deployment and Computation Offloading46
Reversible Data Hiding in Encrypted Images Based on Chinese Remainder Theorem44
Asynchronous Optical Traffic Offloading of Hybrid Optical/Electrical Data Center Networks44
Passive User Authentication Utilizing Two-Dimensional Features for IIoT Systems43
Cloud Load Balancers Need to Stay Off the Data Path42
Personalized Cloud Gaming: Multi-Objective Optimization for Resource Utilization and Video Encoding42
0.30278611183167