OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Parallel and Distributed Systems is 50. 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 2020-11-01 to 2024-11-01.)

Article	Citations
A Scalable Multi-Layer PBFT Consensus for Blockchain	243
Fast Adaptive Task Offloading in Edge Computing Based on Meta Reinforcement Learning	241
Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems	231
Kokkos 3: Programming Model Extensions for the Exascale Era	183
Online Collaborative Data Caching in Edge Computing	172
Biscotti: A Blockchain System for Private and Secure Federated Learning	163
Decentralized Edge Intelligence: A Dynamic Resource Allocation Framework for Hierarchical Federated Learning	161
Towards Fair and Privacy-Preserving Federated Deep Models	151
Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing	148
Cost-Effective App Data Distribution in Edge Computing	132
Energy-Efficient Offloading for DNN-Based Smart IoT Systems in Cloud-Edge Environments	125
Recent Advances of Resource Allocation in Network Function Virtualization	124
Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation	109
Distributed and Dynamic Service Placement in Pervasive Edge Computing Networks	107
The Deep Learning Compiler: A Comprehensive Survey	102
Communication-Efficient Federated Learning With Compensated Overlap-FedAvg	101
Multi-Agent Imitation Learning for Pervasive Edge Computing: A Decentralized Computation Offloading Algorithm	99
Auditing Cache Data Integrity in the Edge Computing Environment	98
AUCTION: Automated and Quality-Aware Client Selection Framework for Efficient Federated Learning	92
Modeling and Optimization of Performance and Cost of Serverless Applications	84
Multi-Hop Multi-Task Partial Computation Offloading in Collaborative Edge Computing	80
Distributed Task Migration Optimization in MEC by Extending Multi-Agent Deep Reinforcement Learning Approach	80
Distributed and Collective Deep Reinforcement Learning for Computation Offloading: A Practical Perspective	79
Offloading Tasks With Dependency and Service Caching in Mobile Edge Computing	77
CASpMV: A Customized and Accelerative SpMV Framework for the Sunway TaihuLight	75

Proof of Federated Learning: A Novel Energy-Recycling Consensus Algorithm	74
FRATO: Fog Resource Based Adaptive Task Offloading for Delay-Minimizing IoT Service Provisioning	70
A Potential Game Theoretic Approach to Computation Offloading Strategy Optimization in End-Edge-Cloud Computing	70
Elastic Scheduling for Microservice Applications in Clouds	68
Min-Max Cost Optimization for Efficient Hierarchical Federated Learning in Wireless Edge Networks	67
POCLib: A High-Performance Framework for Enabling Near Orthogonal Processing on Compression	67
Energy-Aware Inference Offloading for DNN-Driven Applications in Mobile Edge Clouds	66
Blockchain at the Edge: Performance of Resource-Constrained IoT Networks	64
On Consortium Blockchain Consistency: A Queueing Network Model Approach	64
Taskflow: A Lightweight Parallel and Heterogeneous Task Graph Computing System	63
CSEdge: Enabling Collaborative Edge Storage for Multi-Access Edge Computing Based on Blockchain	62
VQL: Efficient and Verifiable Cloud Query Services for Blockchain Systems	61
COSCO: Container Orchestration Using Co-Simulation and Gradient Based Optimization for Fog Computing Environments	61
Towards Efficient Scheduling of Federated Mobile Devices Under Computational and Statistical Heterogeneity	60
Privacy-Preserving Multi-Keyword Searchable Encryption for Distributed Systems	60
Distributed Training of Deep Learning Models: A Taxonomic Perspective	58
Adaptive Resource Efficient Microservice Deployment in Cloud-Edge Continuum	57
Thermal Prediction for Efficient Energy Management of Clouds Using Machine Learning	56
TODG: Distributed Task Offloading With Delay Guarantees for Edge Computing	56
Cryptomining Detection in Container Clouds Using System Calls and Explainable Machine Learning	55
Performance and Cost-Efficient Spark Job Scheduling Based on Deep Reinforcement Learning in Cloud Computing Environments	55
Mechanisms for Resource Allocation and Pricing in Mobile Edge Computing Systems	54
A Game-Based Approach for Cost-Aware Task Assignment With QoS Constraint in Collaborative Edge and Cloud Environments	50
IPPTS: An Efficient Algorithm for Scientific Workflow Scheduling in Heterogeneous Computing Systems	50
e-PoS: Making Proof-of-Stake Decentralized and Fair	50
Joint Task Scheduling and Containerizing for Efficient Edge Computing	50