Compass: SLO-aware Query Planner for Compound AI Serving at Scale
Fuente:
arXiv
Guardado en:
| Autores principales: | Liu, Banruo, Lin, Wei-Yu, Fang, Minghao, Jiang, Yihan, Lai, Fan |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
JITServe: SLO-aware LLM Serving with Imprecise Request Information
por: Zhang, Wei, et al.
Publicado: (2025)
por: Zhang, Wei, et al.
Publicado: (2025)
Budget-aware Query Tuning: An AutoML Perspective
por: Wu, Wentao, et al.
Publicado: (2024)
por: Wu, Wentao, et al.
Publicado: (2024)
MaskSearch: Querying Image Masks at Scale
por: He, Dong, et al.
Publicado: (2023)
por: He, Dong, et al.
Publicado: (2023)
HedraRAG: Coordinating LLM Generation and Database Retrieval in Heterogeneous RAG Serving
por: Hu, Zhengding, et al.
Publicado: (2025)
por: Hu, Zhengding, et al.
Publicado: (2025)
The CAP Principle for LLM Serving: A Survey of Long-Context Large Language Model Serving
por: Zeng, Pai, et al.
Publicado: (2024)
por: Zeng, Pai, et al.
Publicado: (2024)
ACE: A Cardinality Estimator for Set-Valued Queries
por: Sheng, Yufan, et al.
Publicado: (2025)
por: Sheng, Yufan, et al.
Publicado: (2025)
Hydro: Adaptive Query Processing of ML Queries
por: Kakkar, Gaurav Tarlok, et al.
Publicado: (2024)
por: Kakkar, Gaurav Tarlok, et al.
Publicado: (2024)
RAGPulse: An Open-Source RAG Workload Trace to Optimize RAG Serving Systems
por: Wang, Zhengchao, et al.
Publicado: (2025)
por: Wang, Zhengchao, et al.
Publicado: (2025)
PolyServe: Efficient Multi-SLO Serving at Scale
por: Zhu, Kan, et al.
Publicado: (2025)
por: Zhu, Kan, et al.
Publicado: (2025)
Rethinking Caching for LLM Serving Systems: Beyond Traditional Heuristics
por: Kim, Jungwoo, et al.
Publicado: (2025)
por: Kim, Jungwoo, et al.
Publicado: (2025)
RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems
por: Ouyang, Biao, et al.
Publicado: (2025)
por: Ouyang, Biao, et al.
Publicado: (2025)
Efficient Vector Search in the Wild: One Model for Multi-K Queries
por: Peng, Yifan, et al.
Publicado: (2026)
por: Peng, Yifan, et al.
Publicado: (2026)
Private Queries with Sigma-Counting
por: Gao, Jun, et al.
Publicado: (2025)
por: Gao, Jun, et al.
Publicado: (2025)
Demonstration of MaskSearch: Efficiently Querying Image Masks for Machine Learning Workflows
por: Wei, Lindsey Linxi, et al.
Publicado: (2024)
por: Wei, Lindsey Linxi, et al.
Publicado: (2024)
Optimizing LLM Queries in Relational Data Analytics Workloads
por: Liu, Shu, et al.
Publicado: (2024)
por: Liu, Shu, et al.
Publicado: (2024)
The Unreasonable Effectiveness of LLMs for Query Optimization
por: Akioyamen, Peter, et al.
Publicado: (2024)
por: Akioyamen, Peter, et al.
Publicado: (2024)
TranSQL+: Serving Large Language Models with SQL on Low-Resource Hardware
por: Sun, Wenbo, et al.
Publicado: (2025)
por: Sun, Wenbo, et al.
Publicado: (2025)
ResidualPlanner+: a scalable matrix mechanism for marginals and beyond
por: Xiao, Yingtai, et al.
Publicado: (2023)
por: Xiao, Yingtai, et al.
Publicado: (2023)
AdaServe: Accelerating Multi-SLO LLM Serving with SLO-Customized Speculative Decoding
por: Li, Zikun, et al.
Publicado: (2025)
por: Li, Zikun, et al.
Publicado: (2025)
Low Rank Learning for Offline Query Optimization
por: Yi, Zixuan, et al.
Publicado: (2025)
por: Yi, Zixuan, et al.
Publicado: (2025)
Predictive Query-based Pipeline for Graph Data
por: Neto, Plácido A Souza
Publicado: (2024)
por: Neto, Plácido A Souza
Publicado: (2024)
Incorporating Deep Learning Design in Database Queries
por: Lubarsky, Yuval Lev, et al.
Publicado: (2026)
por: Lubarsky, Yuval Lev, et al.
Publicado: (2026)
Adversarial Query Synthesis via Bayesian Optimization
por: Tao, Jeffrey, et al.
Publicado: (2026)
por: Tao, Jeffrey, et al.
Publicado: (2026)
Sibyl: Forecasting Time-Evolving Query Workloads
por: Huang, Hanxian, et al.
Publicado: (2024)
por: Huang, Hanxian, et al.
Publicado: (2024)
Improving DBMS Scheduling Decisions with Fine-grained Performance Prediction on Concurrent Queries -- Extended
por: Wu, Ziniu, et al.
Publicado: (2025)
por: Wu, Ziniu, et al.
Publicado: (2025)
A Declarative Query Language for Scientific Machine Learning
por: Jamil, Hasan M
Publicado: (2024)
por: Jamil, Hasan M
Publicado: (2024)
SafeLoad: Efficient Admission Control Framework for Identifying Memory-Overloading Queries in Cloud Data Warehouses
por: Wu, Yifan, et al.
Publicado: (2026)
por: Wu, Yifan, et al.
Publicado: (2026)
KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction
por: Kim, Jang-Hyun, et al.
Publicado: (2025)
por: Kim, Jang-Hyun, et al.
Publicado: (2025)
SemBench: A Benchmark for Semantic Query Processing Engines
por: Lao, Jiale, et al.
Publicado: (2025)
por: Lao, Jiale, et al.
Publicado: (2025)
SLO-aware GPU Frequency Scaling for Energy Efficient LLM Inference Serving
por: Kakolyris, Andreas Kosmas, et al.
Publicado: (2024)
por: Kakolyris, Andreas Kosmas, et al.
Publicado: (2024)
Training-Free Query Optimization via LLM-Based Plan Similarity
por: Vasilenko, Nikita, et al.
Publicado: (2025)
por: Vasilenko, Nikita, et al.
Publicado: (2025)
RELOAD: A Robust and Efficient Learned Query Optimizer for Database Systems
por: Lee, Seokwon, et al.
Publicado: (2026)
por: Lee, Seokwon, et al.
Publicado: (2026)
LearnedWMP: Workload Memory Prediction Using Distribution of Query Templates
por: Quader, Shaikh, et al.
Publicado: (2024)
por: Quader, Shaikh, et al.
Publicado: (2024)
Tradeoffs in Processing Queries and Supporting Updates over an ML-Enhanced R-tree
por: Al-Mamun, Abdullah, et al.
Publicado: (2025)
por: Al-Mamun, Abdullah, et al.
Publicado: (2025)
Cross-domain-aware Worker Selection with Training for Crowdsourced Annotation
por: Sun, Yushi, et al.
Publicado: (2024)
por: Sun, Yushi, et al.
Publicado: (2024)
EdgeServe: A Streaming System for Decentralized Model Serving
por: Shaowang, Ted, et al.
Publicado: (2023)
por: Shaowang, Ted, et al.
Publicado: (2023)
An LLM-Guided Query-Aware Inference System for GNN Models on Large Knowledge Graphs
por: Afandi, Waleed, et al.
Publicado: (2026)
por: Afandi, Waleed, et al.
Publicado: (2026)
QJoin: Transformation-aware Joinable Data Discovery Using Reinforcement Learning
por: Wang, Ning, et al.
Publicado: (2025)
por: Wang, Ning, et al.
Publicado: (2025)
From Zero to Hero: Detecting Leaked Data through Synthetic Data Injection and Model Querying
por: Wu, Biao, et al.
Publicado: (2023)
por: Wu, Biao, et al.
Publicado: (2023)
GAN-based Tabular Data Generator for Constructing Synopsis in Approximate Query Processing: Challenges and Solutions
por: Fallahian, Mohammadali, et al.
Publicado: (2022)
por: Fallahian, Mohammadali, et al.
Publicado: (2022)
Ejemplares similares
-
JITServe: SLO-aware LLM Serving with Imprecise Request Information
por: Zhang, Wei, et al.
Publicado: (2025) -
Budget-aware Query Tuning: An AutoML Perspective
por: Wu, Wentao, et al.
Publicado: (2024) -
MaskSearch: Querying Image Masks at Scale
por: He, Dong, et al.
Publicado: (2023) -
HedraRAG: Coordinating LLM Generation and Database Retrieval in Heterogeneous RAG Serving
por: Hu, Zhengding, et al.
Publicado: (2025) -
The CAP Principle for LLM Serving: A Survey of Long-Context Large Language Model Serving
por: Zeng, Pai, et al.
Publicado: (2024)