Xiaosu Lyu, Emil Abbasov, Sean McBride, Gabriel Parmer, and Timothy Wood. 2025. SledgeScale: Load-Aware Dispatch and Deadline-Driven Scheduling for Scalable, Dense Serverless Computing in Edge Data Centers. In Proceedings of the Tenth ACM/IEEE Symposium on Edge Computing (SEC '25). Association for Computing Machinery, New York, NY, USA, Article 15, 1–17. https://doi.org/10.1145/3769102.3770623
Code |
Paper
Xiaosu Lyu, E. Abbasov, G. Parmer and T. Wood, "A High-Density, Deadline-Aware, and Scalable Serverless Platform for Sub-Millisecond Functions at the Edge," 2025 IEEE Cloud Summit, Washington, DC, USA, 2025, pp. 35-38, doi: 10.1109/Cloud-Summit64795.2025.00013. keywords: {Limiting;Scheduling algorithms;Scalability;Serverless computing;Webassembly;Throughput;Dispatching;Autonomous vehicles;Augmented reality;Edge computing;Serverless;Edge;WebAssembly;deadline-aware;density;latency-sensitive applications}
Code |
Paper
Xiaosu Lyu, "Balancing Three Important Goals for Runtimes - Isolation, High Performance, and Resource Efficiency," 2022 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C), CA, USA, 2022, pp. 60-62, doi: 10.1109/ACSOSC56246.2022.00031. keywords: {Runtime;Codes;Autonomous systems;Big Data;Software;Distributed computing;Isolation;high performance;resource efficiency;Serverless;distributed big data applications;NFV.}
Paper
Xiaosu Lyu, Ludmila Cherkasova, Robert Aitken, Gabriel Parmer, and Timothy Wood. 2022. Towards efficient processing of latency-sensitive serverless DAGs at the edge. In Proceedings of the 5th International Workshop on Edge Systems, Analytics and Networking (EdgeSys '22). Association for Computing Machinery, New York, NY, USA, 49–54. https://doi.org/10.1145/3517206.3526274
Code |
Paper
Viyom Mittal, Shixiong Qi, Ratnadeep Bhattacharya, Xiaosu Lyu, Junfeng Li, Sameer G. Kulkarni, Dan Li, Jinho Hwang, K. K. Ramakrishnan, and Timothy Wood. 2021. Mu: An Efficient, Fair and Responsive Serverless Framework for Resource-Constrained Edge Clouds. In Proceedings of the ACM Symposium on Cloud Computing (SoCC '21). Association for Computing Machinery, New York, NY, USA, 168–181. https://doi.org/10.1145/3472883.3487014
Paper