179 citations · 186 across the 8 of their papers we have counts for
7 papers · 1 filter
GoodServe: Towards High-Goodput Serving of Agentic LLM Inferences over Heterogeneous Resources
Boxiao Du, Boning Huangfu, Yizhou Luo +5
Large Language Models (LLMs) play a critical role in emerging agentic applications, where the timely completion of each entire inference is critical. Meanwhile, agentic LLM inferen…
Towards Resource-Efficient Serverless LLM Inference with SLINFER
Chuhao Xu, Zijun Li, Quan Chen +3
The rise of LLMs has driven demand for private serverless deployments, characterized by moderate-sized models and infrequent requests. While existing serverless solutions follow ex…
Towards Fast Setup and High Throughput of GPU Serverless Computing
Han Zhao, Weihao Cui, Quan Chen +6
Integrating GPUs into serverless computing platforms is crucial for improving efficiency. However, existing solutions for GPU-enabled serverless computing platforms face two signif…
DFlow: Efficient Dataflow-based Invocation Workflow Execution for Function-as-a-Service
Xiaoxiang Shi, Chao Li, Zijun Li +5
The Serverless Computing is becoming increasingly popular due to its ease of use and fine-grained billing. These features make it appealing for stateful application or serverless w…
DataFlower: Exploiting the Data-flow Paradigm for Serverless Workflow Orchestration
Zijun Li, Chuhao Xu, Quan Chen +3
Serverless computing that runs functions with auto-scaling is a popular task execution pattern in the cloud-native era. By connecting serverless functions into workflows, tenants c…
The Serverless Computing Survey: A Technical Primer for Design Architecture
Zijun Li, Linsong Guo, Jiagan Cheng +3
The development of cloud infrastructures inspires the emergence of cloud-native computing. As the most promising architecture for deploying microservices, serverless computing has…
Pagurus: Eliminating Cold Startup in Serverless Computing with Inter-Action Container Sharing
Zijun Li, Quan Chen, Minyi Guo
Serverless computing provides fine-grain resource sharing between Cloud tenants through containers. Each function invocation (action) runs in an individual container. When there is…