Publications

• 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.
• P. Kang, C. Liu, X. Shen. Multicore Embedded Real-Time Scheduling Algorithm Based on Gang Scheduling. Microelectronics & Computer, 2016, 33(10): 32-35.