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
Pura: An Efficient Privacy-Preserving Solution for Face Recognition92
Budget-Feasible Clock Mechanism for Hierarchical Computation Offloading in Edge-Vehicle Collaborative Computing92
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
Cyclic Matrix Coding to Mitigate ACK Blocking of MPTCP in Data Center Networks70
Lattice-Based Revocable IBEET Scheme for Mobile Cloud Computing70
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
Modeling Resource Scheduling in Optical Switching DCNs Under Bursty and Skewed Traffic61
A Dynamic Deep-Learning-Based Virtual Edge Node Placement Scheme for Edge Cloud Systems in Mobile Environment61
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
Similarity Search for Encrypted Images in Secure Cloud Computing52
An End-Cloud Collaborated Framework for Transferable Non-Intrusive Load Monitoring52
CRTSE: Clustering and Reinforcement Learning Based Task Scheduling Algorithm for Edge Computing52
PerfSim: A Performance Simulator for Cloud Native Microservice Chains49
Deadline-Aware Online Job Scheduling for Distributed Training in Heterogeneous Clusters48
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
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
Asynchronous Optical Traffic Offloading of Hybrid Optical/Electrical Data Center Networks44
Reversible Data Hiding in Encrypted Images Based on Chinese Remainder Theorem44
Passive User Authentication Utilizing Two-Dimensional Features for IIoT Systems43
Personalized Cloud Gaming: Multi-Objective Optimization for Resource Utilization and Video Encoding42
Cloud Load Balancers Need to Stay Off the Data Path42
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