{"total":66,"rows":[{"id":"2311.15566","title":"SpotServe: Serving Generative Large Language Models on Preemptible Instances","created":"2023-11-27","cited_by_count":87,"area":"inference"},{"id":"2401.17644","title":"BurstGPT: A Real-world Workload Dataset to Optimize LLM Serving Systems","created":"2024-01-31","cited_by_count":87,"area":"inference"},{"id":"2401.14351","title":"ServerlessLLM: Low-Latency Serverless Inference for Large Language Models","created":"2024-01-25","cited_by_count":80,"area":null},{"id":"2109.01313","title":"Characterization and Prediction of Deep Learning Workloads in Large-Scale GPU Datacenters","created":"2021-09-03","cited_by_count":31,"area":null},{"id":"2505.09999","title":"ServeGen: Workload Characterization and Generation of Large Language Model Serving in Production","created":"2025-05-15","cited_by_count":29,"area":"inference"},{"id":"2411.01438","title":"SkyServe: Serving AI Models across Regions and Clouds with Spot Instances","created":"2024-11-03","cited_by_count":20,"area":null},{"id":"2603.18897","title":"Parallelizing Tool Execution and LLM Generation for Low-Latency Agent Serving","created":"2026-03-19","cited_by_count":20,"area":"agents"},{"id":"2312.05215","title":"DeltaZip: Efficient Serving of Multiple Full-Model-Tuned LLMs","created":"2023-12-08","cited_by_count":18,"area":null},{"id":"2502.15524","title":"HydraServe: Minimizing Cold Start Latency for Serverless LLM Serving in Public Clouds","created":"2025-02-21","cited_by_count":14,"area":"inference"},{"id":"2201.02120","title":"Treehouse: A Case For Carbon-Aware Datacenter Software","created":"2022-01-06","cited_by_count":12,"area":null},{"id":"2312.16733","title":"SuperServe: Fine-Grained Inference Serving for Unpredictable Workloads","created":"2023-12-27","cited_by_count":12,"area":null},{"id":"2512.03416","title":"TokenScale: Timely and Accurate Autoscaling for Disaggregated LLM Serving with Token Velocity","created":"2025-12-03","cited_by_count":12,"area":"inference"},{"id":"2608.00101","title":"Agentic Coding in the Wild: Characterizing GitHub Copilot Traces at Production Scale","created":"2026-07-30","cited_by_count":11,"area":"agents"},{"id":"2312.10127","title":"How Does It Function? Characterizing Long-term Trends in Production Serverless Workloads","created":"2023-12-15","cited_by_count":10,"area":null},{"id":"2407.17880","title":"DAM: Towards A Foundation Model for Time Series Forecasting","created":"2024-07-25","cited_by_count":10,"area":null},{"id":"2512.14946","title":"EVICPRESS: Joint KV-Cache Compression and Eviction for Efficient LLM Serving","created":"2025-12-16","cited_by_count":10,"area":"inference"},{"id":"2510.11938","title":"FlexPipe: Adapting Dynamic LLM Serving Through Inflight Pipeline Refactoring in Fragmented Serverless Clusters","created":"2025-10-13","cited_by_count":9,"area":"inference"},{"id":"2211.15751","title":"Edge Video Analytics: A Survey on Applications, Systems and Enabling Techniques","created":"2022-11-28","cited_by_count":7,"area":null},{"id":"2512.05951","title":"Trusted AI Agents in the Cloud","created":"2025-12-05","cited_by_count":6,"area":"agents"},{"id":"2308.05937","title":"A Deep Recurrent-Reinforcement Learning Method for Intelligent AutoScaling of Serverless Functions","created":"2023-08-11","cited_by_count":5,"area":null},{"id":"2505.03756","title":"Improving the Serving Performance of Multi-LoRA Large Language Models via Efficient LoRA and KV Cache Management","created":"2025-04-19","cited_by_count":5,"area":"inference"},{"id":"2512.09472","title":"WarmServe: Enabling One-for-Many GPU Prewarming for Multi-LLM Serving","created":"2025-12-10","cited_by_count":5,"area":"inference"},{"id":"2406.14424","title":"CascadeServe: Unlocking Model Cascades for Inference Serving","created":"2024-06-20","cited_by_count":4,"area":null},{"id":"2410.17840","title":"Is the GPU Half-Empty or Half-Full? Practical Scheduling Techniques for LLMs","created":"2024-10-23","cited_by_count":4,"area":null},{"id":"2512.20210","title":"Predictive-LoRA: A Proactive and Fragmentation-Aware Serverless Inference System for LLMs","created":"2025-12-23","cited_by_count":3,"area":"inference"},{"id":"2603.16514","title":"FleetOpt: Analytical Fleet Provisioning for LLM Inference with Compress-and-Route as Implementation Mechanism","created":"2026-03-17","cited_by_count":3,"area":"inference"},{"id":"2211.11759","title":"Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning","created":"2022-11-21","cited_by_count":2,"area":null},{"id":"2311.12864","title":"OptScaler: A Collaborative Framework for Robust Autoscaling in the Cloud","created":"2023-10-26","cited_by_count":2,"area":null},{"id":"2312.07813","title":"On a Foundation Model for Operating Systems","created":"2023-12-13","cited_by_count":2,"area":null},{"id":"2401.07886","title":"Learned Best-Effort LLM Serving","created":"2024-01-15","cited_by_count":2,"area":null},{"id":"2405.10968","title":"LIFL: A Lightweight, Event-driven Serverless Platform for Federated Learning","created":"2024-05-05","cited_by_count":2,"area":null},{"id":"2503.17707","title":"PipeBoost: Resilient Pipelined Architecture for Fast Serverless LLM Scaling","created":"2025-03-22","cited_by_count":2,"area":"inference"},{"id":"2512.01357","title":"Tangram: Accelerating Serverless LLM Loading through GPU Memory Reuse and Affinity","created":"2025-12-01","cited_by_count":2,"area":null},{"id":"2602.22718","title":"RLHFless: Serverless Computing for Efficient RLHF","created":"2026-02-26","cited_by_count":2,"area":"alignment"},{"id":"2212.01689","title":"Learning-Assisted Algorithm Unrolling for Online Optimization with Budget Constraints","created":"2022-12-03","cited_by_count":1,"area":null},{"id":"2304.00396","title":"Managing Cold-start in The Serverless Cloud with Temporal Convolutional Networks","created":"2023-04-01","cited_by_count":1,"area":null},{"id":"2308.03450","title":"Intelligence-Endogenous Management Platform for Computing and Network Convergence","created":"2023-08-07","cited_by_count":1,"area":null},{"id":"2401.07051","title":"COIN: Chance-Constrained Imitation Learning for Uncertainty-aware Adaptive Resource Oversubscription Policy","created":"2024-01-13","cited_by_count":1,"area":"offlinerl"},{"id":"2410.11875","title":"A Framework for SLO, Carbon, and Wastewater-Aware Sustainable FaaS Cloud Platform Management","created":"2024-10-09","cited_by_count":1,"area":null},{"id":"2505.14468","title":"ServerlessLoRA: Enabling Low-Latency Serverless Multi-LoRA Serving","created":"2025-05-20","cited_by_count":1,"area":null},{"id":"2512.25065","title":"Vulcan: Instance-specialized, Verifiable Systems Heuristics Through LLM-driven Search","created":"2025-12-31","cited_by_count":1,"area":null},{"id":"2604.07144","title":"Autopoiesis: A Self-Evolving System Paradigm for LLM Serving Under Runtime Dynamics","created":"2026-04-08","cited_by_count":1,"area":"inference"},{"id":"2607.23933","title":"SpecBox: Speculative Sandbox Scheduling for Efficient LLM Agent Serving","created":"2026-07-27","cited_by_count":1,"area":"agents"},{"id":"2108.12717","title":"Accelerating Serverless Computing by Harvesting Idle Resources","created":"2021-08-28","cited_by_count":0,"area":null},{"id":"2202.11247","title":"Performance Modeling of Metric-Based Serverless Computing Platforms","created":"2022-02-23","cited_by_count":0,"area":null},{"id":"2206.10326","title":"The Metaverse Data Deluge: What Can We Do About It?","created":"2022-06-14","cited_by_count":0,"area":null},{"id":"2308.07541","title":"On-demand Cold Start Frequency Reduction with Off-Policy Reinforcement Learning in Serverless Computing","created":"2023-08-15","cited_by_count":0,"area":null},{"id":"2401.02920","title":"Analytically-Driven Resource Management for Cloud-Native Microservices","created":"2024-01-05","cited_by_count":0,"area":null},{"id":"2401.08859","title":"Shabari: Delayed Decision-Making for Faster and Efficient Serverless Functions","created":"2024-01-16","cited_by_count":0,"area":null},{"id":"2404.00057","title":"PerOS: Personalized Self-Adapting Operating Systems in the Cloud","created":"2024-03-26","cited_by_count":0,"area":null},{"id":"2406.02790","title":"Building Socially-Equitable Public Models","created":"2024-06-04","cited_by_count":0,"area":null},{"id":"2504.11338","title":"Transformer-Based Model for Cold Start Mitigation in FaaS Architecture","created":"2025-04-15","cited_by_count":0,"area":null},{"id":"2510.22909","title":"Rethinking Inference Placement for Deep Learning across Edge and Cloud Platforms: A Multi-Objective Optimization Perspective and Future Directions","created":"2025-10-27","cited_by_count":0,"area":"lr"},{"id":"2510.27182","title":"SERFLOW: A Cross-Service Cost Optimization Framework for SLO-Aware Dynamic ML Inference","created":"2025-10-31","cited_by_count":0,"area":null},{"id":"2601.09334","title":"High-Performance Serverless Computing: A Systematic Literature Review on Serverless for HPC, AI, and Big Data","created":"2026-01-14","cited_by_count":0,"area":null},{"id":"2602.23935","title":"Green or Fast? Learning to Balance Cold Starts and Idle Carbon in Serverless Computing","created":"2026-02-27","cited_by_count":0,"area":null},{"id":"2604.05465","title":"Adaptive Serverless Resource Management via Slot-Survival Prediction and Event-Driven Lifecycle Control","created":"2026-04-07","cited_by_count":0,"area":null},{"id":"2604.09202","title":"On the Role of DAG topology in Energy-Aware Cloud Scheduling : A GNN-Based Deep Reinforcement Learning Approach","created":"2026-04-10","cited_by_count":0,"area":"deeprl"},{"id":"2604.26881","title":"FaaSMoE: A Serverless Framework for Multi-Tenant Mixture-of-Experts Serving","created":"2026-04-29","cited_by_count":0,"area":"moe"},{"id":"2604.28175","title":"Strait: Perceiving Priority and Interference in ML Inference Serving","created":"2026-04-30","cited_by_count":0,"area":null},{"id":"2606.09643","title":"FMplex: Model Virtualization for Serving Extensible Foundation Models","created":"2026-06-08","cited_by_count":0,"area":null},{"id":"2606.16264","title":"Tropical: Enhancing SLO Attainment in Disaggregated LLM Serving via SLO-Aware Multiplexing","created":"2026-06-15","cited_by_count":0,"area":"inference"},{"id":"2607.05276","title":"ProPS: Prompted Profile Synthesis for Natural Language-Conditioned Speaker Embedding Distributions","created":"2026-07-06","cited_by_count":0,"area":null},{"id":"2607.17181","title":"Talaria: Session-Aware Serverless Serving of Hundred-Billion-Parameter LLMs","created":"2026-07-19","cited_by_count":0,"area":null},{"id":"2607.26566","title":"ServerlessT2I: Efficient Text-to-Image Workflow Serving on a Serverless Platform","created":"2026-07-29","cited_by_count":0,"area":null},{"id":"2610.17689","title":"Stable Token-level Scheduling for Serverless LLM Inference","created":"2026-10-13","cited_by_count":0,"area":null}],"next_cursor":null}