| 2026 | Cloud-Native Distributed Data Layer for the Computing Continuum with Integrated Location-Aware Workflows. | Michal Orzechowski, Lukasz Opiola, Bartosz Kryza, Bartosz Balis, Lukasz Dutka, Renata G. Slota, Jacek Kitowski |
| 2026 | Towards Proactive AIOps: Transfer Learning for Unsupervised Anomaly Detection via Bi-LSTM Autoencoder. | Danny De Novi, Lorenzo Carnevale, Massimo Villari |
| 2026 | Artifact Appendix for Opendc-Steam: Realistic Modeling and Systematic Exploration of Composable Techniques for Sustainable Datacenters. | Dante Niewenhuis, Sacheendra Talluri, Alexandru Iosup, Tiziano De Matteis |
| 2026 | OpenDC-STEAM: Realistic Modeling and Systematic Exploration of Composable Techniques for Sustainable Datacenters. | Dante Niewenhuis, Sacheendra Talluri, Alexandru Iosup, Tiziano De Matteis |
| 2026 | RapidGNN: Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks. | Arefin Niam, Tevfik Kosar, Md. S. Q. Zulkar Nine |
| 2026 | Logical Scalability in Big Data Architectures: Impact of Data Modeling on the Database Layer. | Rosario Napoli, Mark Adrian Gambito, Antonio Celesti, Maria Fazio |
| 2026 | Adaptive Edge Context Caching Framework for Context-Aware Internet of Things Applications. | Ashish Manchanda, Prem Prakash Jayaraman, Abhik Banerjee, Arkady B. Zaslavsky |
| 2026 | Characterizing LLM Inference Energy-Performance Tradeoffs Across Workloads and GPU Scaling. | Paul Joe Maliakel, Shashikant Ilager, Ivona Brandic |
| 2026 | EAFAL: An Edge-Based Agentic Framework for Adaptive Selection Between SLMs and LLMs. | Chamara Madarasingha, Prajyot Singh, Redowan Mahmud, Mahbuba Afrin, Aneesh Krishna, Salil S. Kanhere |
| 2026 | SOtrain: Efficient LLM Fine-Tuning on a Single-GPU Commodity Server via User-Space I/O and Scheduling Optimizations. | Zhengguo Liu, Hao Lan, Jiwu Shu |
| 2026 | A Multi-Armed Bandit-Based Participant Selection Method for Federated Recommendation Systems. | Jintao Liu, Mohammad Goudarzi, Adel Nadjaran Toosi |
| 2026 | RDA-CAFL: Reputation-Dynamic and Distillation-based Asynchronous Conflict-Aware Federated Learning for UAV Networks. | Jie Li, Pengyang Li, Liming Sun, Xingwei Wang, Yihang Zhang |
| 2026 | Learning-Based Command Priority Scheduling for Tail Latency Reduction in Storage Systems. | Zilong Liang, Ye Xu, Minjie Fan, Jiwu Shu |
| 2026 | Empirical Analysis of GPU Frequency Behavior Under ML Workloads. | Truong Thanh Le, Hoang-Loc La, Amir Taherkordi, Frank Eliassen, Phuong Hoai Ha, Peiyuan Guan |
| 2026 | PM2Lat: Highly Accurate and Generalized Prediction of DNN Execution Latency on GPUs. | Truong Thanh Le, Hoang-Loc La, Amir Taherkordi, Frank Eliassen, Phuong Hoai Ha, Peiyuan Guan |
| 2026 | ARKV: Adaptive and Resource-Efficient KV Cache Management Under Limited Memory Budget for Long-Context Inference in LLMs. | Jianlong Lei, Shashikant Ilager |
| 2026 | Mammoth: Macro-Level MPI Offloading to Off-Path Accelerator in DPU. | Jong-Bin Lee, Pu-Rum Seo, Ki-Moon Jeong, Hyun-Wook Jin |
| 2026 | Physics-Informed Prediction of Uncertain Glucose Dynamics: Integrating Wong-Zakai Corrected Stochastic Differential Equations with Machine Learning. | Rossella Laudani, Armando Ruggeri, Massimo Villari |
| 2026 | Making Variable-Size I/O Practical in ZNS SSDs. | Sijie Lan, Abutalib Aghayev, Mahmut T. Kandemir, Umesh Maheshwari |
| 2026 | Predictscale: Proactive Autoscaling Via Workload Forecasting for Edge Microservices Application. | Bablu Kumar, Anshul Verma, Pradeepika Verma, Rajkumar Buyya |
| 2026 | Priority-Aware GPU Co-Scheduling for High Performance Computing. | Naman Kulshreshtha, Tapasya Patki, Aniruddha Marathe, Tom Scogland, Rong Ge |
| 2026 | Xfagent: Automating Multi-Cloud Deployment of Agentic Workflows on Faas Platforms. | Varad Kulkarni, Vaibhav Jha, Nikhil Reddy, Anand Eswaran, Praveen Jayachandran, Yogesh Simmhan |
| 2026 | Decentralized Resource Sharing in Edge-Cloud Federations via Multi-Agent Hierarchical Reinforcement Learning. | Panagiotis Kokkinakis, Polyzois Soumplis, Emmanouel Varvarigos |
| 2026 | VeX: Scaling HNSW-Based Vector Search with DPU Memory and Parallelism. | Kihwan Kim, Hyungsun Yoo, Woojung Kim, Donghyun Min, Myungcheol Lee, Jihoon Yang, Weikuan Yu, Youngjae Kim |
| 2026 | LLM-Pilot: SLO-Aware and Cost-Efficient LLM Serving on Public Cloud VM Clusters via Offloading. | Jinwoo Kim, Kihyun Kim, Hyunsun Chung, Jihoon Yang, James J. Kim, Dong Li, Youngjae Kim |