- Yong Kou, Jinlong He, Xia Yuan, Dening Luo, Yanci Zhang. ScaleGS: Scalable distributed framework for large-scale 3D Gaussian splatting with edge communication. Perform. Eval., 171:102516, 2026.
- Muhammad El-Taha. Classification of discrete-time systems with scheduling rules and observation epochs. Perform. Eval., 172:102544, 2026.
- Caitlin Vanden Bussche, Sabine Wittevrongel, Arnaud Devos, Dieter Fiems. Revenue management for parallel services with fully observable queues and heterogeneous customers. Perform. Eval., 171:102541, 2026.
- Zhongrui Chen, Adityo Anggraito, Diletta Olliaro, Andrea Marin, Marco Ajmone Marsan, Benjamin Berg, Isaac Grosof. Improving nonpreemptive multiserver job scheduling with quickswap. Perform. Eval., 171:102525, 2026.
- Zhenggao Wu, Haoran Wu, Haokun Zhao, Qi-Ming He. Training neural networks for the G I / G / K queue. Perform. Eval., 172:102555, 2026.
- Yuanjie Lai, Shuke Qiao, Youcong Ni, Xin Du 0003, Ruliang Xiao, Dingbang Fang. Interaction-aware multi-objective optimization method for LLVM compiler option sequences. Perform. Eval., 171:102543, 2026.
- Chuan Xu 0002, Caelin Kaplan, Angelo Rodio, Tareq Si Salem, Giovanni Neglia. Federated Learning for Collaborative Inference Systems: The case of early exit networks. Perform. Eval., 171:102538, 2026.
- Mert Yildiz, Alexey Rolich, Andrea Baiocchi. Dispatching policies in data center clusters: Insights from Google and Alibaba workloads. Perform. Eval., 172:102551, 2026.
- Benedetta Picano, Marco Paolieri, Laura Carnevali, Enrico Vicario. Joint offloading and service selection via matching and auction theory for multi-task dependent computation-intensive applications. Perform. Eval., 172:102556, 2026.
- Qianlin Liang, Haoliang Wang, Prashant J. Shenoy. Lilou: Resource-aware model-driven latency prediction for GPU-accelerated model serving. Perform. Eval., 171:102539, 2026.