| 2022 | TinyTricia - A Space-Optimized Patricia Trie For Transparent Access to Edge Computing Services. | Josef Hammer, Hermann Hellwagner |
| 2022 | Developing a Secure Architecture for Internet of Medical Things Using Attribute-Based Encryption. | Milad Ghanbarafjeh, Masoud Barati, Omer F. Rana, Rajiv Ranjan |
| 2022 | Mobile-Kube: Mobility-aware and Energy-efficient Service Orchestration on Kubernetes Edge Servers. | Saeid Ghafouri, Alireza Karami, Danial Bidekani Bakhtiarvand, Ali Akbar Saleh-Bigdeli, Sukhpal Singh Gill, Joseph Doyle |
| 2022 | Exploiting the Potential of the Edge-Cloud Continuum with Self-distributing Systems. | Roberto Rodrigues Filho, Luiz F. Bittencourt, Barry Porter, Fbio M. Costa |
| 2022 | An Evaluation of Modeling Options for Cloud-native Application Architectures to Enable Quality Investigations. | Karolin Drr, Robin Lichtenthler |
| 2022 | Logical Optimisation and Cost Modelling of Stream-Processing Programs Written in a Purely-Functional Framework. | Jonathan Dowland, Paul Watson, Adam Cattermole |
| 2022 | Runtime Microservice Self-distribution for Fine-grain Resource Allocation. | Renato S. Dias, Roberto Rodrigues Filho, Luiz F. Bittencourt, Fbio M. Costa |
| 2022 | FLBCPS: Federated Learning based Secured Computation Offloading in Blockchain-Assisted Cyber-Physical Systems. | Prakhar Consul, Ishan Budhiraja, Rajat Chaudhary, Deepak Garg |
| 2022 | Educational Data in the Cloud Legal Implications and Technical Recommendations. | Ben Cohen, Ashley Hu, Deisy Patino, Joel Coffman |
| 2022 | FedComm: Understanding Communication Protocols for Edge-based Federated Learning. | Gary Cleland, Di Wu, Rehmat Ullah, Blesson Varghese |
| 2022 | Scaling Data Analysis Services in an Edge-based Federated Learning Environment. | Alessio Catalfamo, Lorenzo Carnevale, Antonino Galletta, Francesco Martella, Antonio Celesti, Maria Fazio, Massimo Villari |
| 2022 | Enabling Awareness of Quality of Training and Costs in Federated Machine Learning Marketplaces. | Tien-Dung Cao, Hong-Linh Truong, Tram Truong Huu, Minh-Tri Nguyen |
| 2022 | A proactive energy-aware auto-scaling solution for edge-based infrastructures. | Angel Caete, Karim Djemame, Mercedes Amor, Lidia Fuentes, Abdullah Fawaz Aljulayfi |
| 2022 | Use of multilevel resource clustering for service placement in fog computing environments. | Helberth Borelli, Fbio M. Costa, Srgio T. Carvalho |
| 2022 | Online Self-Evolving Anomaly Detection for Reliable Cloud Computing. | Tianyu Bai, Haili Wang, Jingda Guo, Xu Ma, Mahendra Talasila, Sihai Tang, Song Fu, Qing Yang |
| 2022 | Cloud Auto-scaling Auditing Approach using Blockchain. | Ahmad Alsharidah, Masoud Barati, Giacomo Bergami, Rajiv Ranjan |
| 2022 | On the Power Consumption of Serverless Functions: An Evaluation of OpenFaaS. | Abdulaziz Alhindi, Karim Djemame, Fatemeh Banaie Heravan |
| 2022 | VECFlex: Reconfigurability and Scalability for Trustworthy Volunteer Edge-Cloud supporting Data-intensive Scientific Computing. | Mauro Lemus Alarcon, Minh Nguyen, Ashish Pandey, Saptarshi Debroy, Prasad Calyam |
| 2022 | FedCD: Personalized Federated Learning via Collaborative Distillation. | Sabtain Ahmad, Atakan Aral |
| 2022 | Performance, Energy and Parallelism: Using Near Data Processing in Utility and Cloud Computing. | Gul Agha, Dipayan Mukherjee, Atul Sandur |
| 2021 | System-aware dynamic partitioning for batch and streaming workloads. | Zoltn Zvara, Pter G. N. Szab, Balzs Barnabs Lrnt, Andrs A. Benczr |
| 2021 | Knowledge distillation for secondary pulmonary tuberculosis classification ensemble. | Qinghua Zhou, Hengde Zhu, Xin Zhang, Yudong Zhang |
| 2021 | Blockchain-based cyber-physical systems security autonomous routing scheme. | Yasheng Zhang, Chengcheng Li, Chao Wang, Peiying Zhang |
| 2021 | Alcoholism via wavelet energy entropy and support vector machine. | Yan Yan, Dimas Lima |
| 2021 | Scheduling ML training on unreliable spot instances. | Sheng Yang, Samir Khuller, Sunav Choudhary, Subrata Mitra, Kanak Mahadik |