Publications

• Peng Kang, Palden Lama, “Bridging Hardware Barriers in Operating Systems Education through Hybrid Cloud Infrastructure”, In the Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2, St. Louis, MO, USA, 2026.
• Faiza Akram, Peng Kang, Palden Lama, Samee U. Khan, “Data-priority Aware Fair Task Scheduling for Stream Processing at the Edge”, In the 8th IEEE Cloud Summit, Washington, DC, USA, 2024. (Selected as the best paper).
• Hasanul Mahmud, Peng Kang, Kevin Desai, Palden Lama and Sushil Prasad, “Enhanced Converting Autoencoder based Framework for Low-latency Energy-efficient DNN with SLO-constraints”, In the 8th IEEE Cloud Summit, Washington, DC, USA, 2024.
• H. Mahmud, P. Kang, K. Desai, P. Lama and S. Prasad, “A Converting Autoencoder Toward Low-latency and Energy-efficient DNN Inference at the Edge”, In the 6th Workshop on Parallel AI and Systems for the Edge (PAISE), San Francisco, USA, May 2024.
• P. Kang, S. Khan, X. Zhou and P. Lama. “High-throughput Real-time Edge Stream Processing with Topology-Aware Resource Matching”, In the 24nd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 10 pages, Philadelphia, USA, May 2024.
• A. Shahid, P. Kang, P. Lama and S. U. Khan, “Some New Observations on SLO-aware Edge Stream Processing,” 2023 IEEE Cloud Summit, Baltimore, MD, USA, 2023, pp. 27-32.
• X. Li, P. Kang, J. Molone, W. Wang and P. Lama, “KneeScale: Efficient Resource Scaling for Serverless Computing at the Edge,” 2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid), Taormina, Italy, 2022, pp. 180-189.
• P. Kang, P. Lama and S. U. Khan, “SLO-aware Virtual Rebalancing for Edge Stream Processing,” 2021 IEEE International Conference on Cloud Engineering (IC2E), 2021, pp. 126-135.
• P. Kang and P. Lama, “Robust Resource Scaling of Containerized Microservices with Probabilistic Machine learning,” 2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC), 2020, pp. 122-131.
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