3 papers
cs.AI2026
FineServe: A Fine-Grained Dataset and Characterization of Global LLM Serving Workloads
Tiancheng Zhang, Shaoyuan Huang, Mingyuan Wang +3
Large language models (LLMs) are increasingly deployed as always-on online services, making efficient LLM serving a critical systems challenge. Achieving low latency and high throu…
cs.LG2025
HRS: Hybrid Representation Framework with Scheduling Awareness for Time Series Forecasting in Crowdsourced Cloud-Edge Platforms
Tiancheng Zhang, Cheng Zhang, Shuren Liu +3
With the rapid proliferation of streaming services, network load exhibits highly time-varying and bursty behavior, posing serious challenges for maintaining Quality of Service (QoS…
cs.LG2025
MetaEformer: Unveiling and Leveraging Meta-patterns for Complex and Dynamic Systems Load Forecasting
Shaoyuan Huang, Tiancheng Zhang, Zhongtian Zhang +3
Time series forecasting is a critical and practical problem in many real-world applications, especially for industrial scenarios, where load forecasting underpins the intelligent o…