WAter: A Workload-Adaptive Knob Tuning System based on Workload Compression
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Yibo, Lao, Jiale, Zhang, Chen, Yang, Cehua, Wang, Jianguo, Tang, Mingjie |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SQLBarber: A System Leveraging Large Language Models to Generate Customized and Realistic SQL Workloads
by: Lao, Jiale, et al.
Published: (2025)
by: Lao, Jiale, et al.
Published: (2025)
Category-Aware Semantic Caching for Heterogeneous LLM Workloads
by: Wang, Chen, et al.
Published: (2025)
by: Wang, Chen, et al.
Published: (2025)
DOT: Dynamic Knob Selection and Online Sampling for Automated Database Tuning
by: Wang, Yifan, et al.
Published: (2026)
by: Wang, Yifan, et al.
Published: (2026)
QUITE: A Query Rewrite System Beyond Rules with LLM Agents
by: Song, Yuyang, et al.
Published: (2025)
by: Song, Yuyang, et al.
Published: (2025)
GenDB: The Next Generation of Query Processing -- Synthesized, Not Engineered
by: Lao, Jiale, et al.
Published: (2026)
by: Lao, Jiale, et al.
Published: (2026)
Couler: Unified Machine Learning Workflow Optimization in Cloud
by: Wang, Xiaoda, et al.
Published: (2024)
by: Wang, Xiaoda, et al.
Published: (2024)
GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization
by: Lao, Jiale, et al.
Published: (2023)
by: Lao, Jiale, et al.
Published: (2023)
Is Large Language Model Good at Database Knob Tuning? A Comprehensive Experimental Evaluation
by: Li, Yiyan, et al.
Published: (2024)
by: Li, Yiyan, et al.
Published: (2024)
Data-Agnostic Cardinality Learning from Imperfect Workloads
by: Wu, Peizhi, et al.
Published: (2025)
by: Wu, Peizhi, et al.
Published: (2025)
Towards Effective Orchestration of AI x DB Workloads
by: Xing, Naili, et al.
Published: (2026)
by: Xing, Naili, et al.
Published: (2026)
Budget-aware Query Tuning: An AutoML Perspective
by: Wu, Wentao, et al.
Published: (2024)
by: Wu, Wentao, et al.
Published: (2024)
RAGPulse: An Open-Source RAG Workload Trace to Optimize RAG Serving Systems
by: Wang, Zhengchao, et al.
Published: (2025)
by: Wang, Zhengchao, et al.
Published: (2025)
E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model
by: Huang, Xinmei, et al.
Published: (2024)
by: Huang, Xinmei, et al.
Published: (2024)
AutoIndexer: A Reinforcement Learning-Enhanced Index Advisor Towards Scaling Workloads
by: Wang, Taiyi, et al.
Published: (2025)
by: Wang, Taiyi, et al.
Published: (2025)
IA2: Leveraging Instance-Aware Index Advisor with Reinforcement Learning for Diverse Workloads
by: Wang, Taiyi, et al.
Published: (2024)
by: Wang, Taiyi, et al.
Published: (2024)
AGRO-SQL: Agentic Group-Relative Optimization with High-Fidelity Data Synthesis
by: Yang, Cehua, et al.
Published: (2025)
by: Yang, Cehua, et al.
Published: (2025)
stratum: A System Infrastructure for Massive Agent-Centric ML Workloads
by: Phani, Arnab, et al.
Published: (2026)
by: Phani, Arnab, et al.
Published: (2026)
LEAD: Iterative Data Selection for Efficient LLM Instruction Tuning
by: Lin, Xiaotian, et al.
Published: (2025)
by: Lin, Xiaotian, et al.
Published: (2025)
Sibyl: Forecasting Time-Evolving Query Workloads
by: Huang, Hanxian, et al.
Published: (2024)
by: Huang, Hanxian, et al.
Published: (2024)
ALTO: Adaptive LoRA Tuning and Orchestration for Heterogeneous LoRA Training Workloads
by: Zuo, Jingwei, et al.
Published: (2026)
by: Zuo, Jingwei, et al.
Published: (2026)
Evaluating LLMs for Text-to-SQL Generation With Complex SQL Workload
by: Ma, Limin, et al.
Published: (2024)
by: Ma, Limin, et al.
Published: (2024)
OntoTune: Ontology-Driven Learning for Query Optimization with Convolutional Models
by: Yue, Songhui, et al.
Published: (2025)
by: Yue, Songhui, et al.
Published: (2025)
A Learned Cost Model-based Cross-engine Optimizer for SQL Workloads
by: Strausz, András, et al.
Published: (2025)
by: Strausz, András, et al.
Published: (2025)
Optimizing LLM Queries in Relational Data Analytics Workloads
by: Liu, Shu, et al.
Published: (2024)
by: Liu, Shu, et al.
Published: (2024)
KnobTree: Intelligent Database Parameter Configuration via Explainable Reinforcement Learning
by: Chen, Jiahan, et al.
Published: (2024)
by: Chen, Jiahan, et al.
Published: (2024)
Griffin: Towards a Graph-Centric Relational Database Foundation Model
by: Wang, Yanbo, et al.
Published: (2025)
by: Wang, Yanbo, et al.
Published: (2025)
Is it Bigger than a Breadbox: Efficient Cardinality Estimation for Real World Workloads
by: Yi, Zixuan, et al.
Published: (2025)
by: Yi, Zixuan, et al.
Published: (2025)
PMKLC: Parallel Multi-Knowledge Learning-based Lossless Compression for Large-Scale Genomics Database
by: Sun, Hui, et al.
Published: (2025)
by: Sun, Hui, et al.
Published: (2025)
Effective Dataset Distillation for Spatio-Temporal Forecasting with Bi-dimensional Compression
by: Kwon, Taehyung, et al.
Published: (2026)
by: Kwon, Taehyung, et al.
Published: (2026)
GrASP: A Generalizable Address-based Semantic Prefetcher for Scalable Transactional and Analytical Workloads
by: Zirak, Farzaneh, et al.
Published: (2025)
by: Zirak, Farzaneh, et al.
Published: (2025)
LearnedWMP: Workload Memory Prediction Using Distribution of Query Templates
by: Quader, Shaikh, et al.
Published: (2024)
by: Quader, Shaikh, et al.
Published: (2024)
Adaptive Detection of Software Aging under Workload Shift
by: Silva, Rafael Jose Moura, et al.
Published: (2025)
by: Silva, Rafael Jose Moura, et al.
Published: (2025)
OpenMLDB: A Real-Time Relational Data Feature Computation System for Online ML
by: Zhou, Xuanhe, et al.
Published: (2025)
by: Zhou, Xuanhe, et al.
Published: (2025)
Beyond Model Base Retrieval: Weaving Knowledge to Master Fine-grained Neural Network Design
by: Wang, Jialiang, et al.
Published: (2025)
by: Wang, Jialiang, et al.
Published: (2025)
A Declarative System for Optimizing AI Workloads
by: Liu, Chunwei, et al.
Published: (2024)
by: Liu, Chunwei, et al.
Published: (2024)
KDSelector: A Knowledge-Enhanced and Data-Efficient Model Selector Learning Framework for Time Series Anomaly Detection
by: Liang, Zhiyu, et al.
Published: (2025)
by: Liang, Zhiyu, et al.
Published: (2025)
NeurDB: An AI-powered Autonomous Data System
by: Ooi, Beng Chin, et al.
Published: (2024)
by: Ooi, Beng Chin, et al.
Published: (2024)
ScaleDoc: Scaling LLM-based Predicates over Large Document Collections
by: Zhang, Hengrui, et al.
Published: (2025)
by: Zhang, Hengrui, et al.
Published: (2025)
STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting
by: Wang, Hongjun, et al.
Published: (2024)
by: Wang, Hongjun, et al.
Published: (2024)
Robust Traffic Forecasting against Spatial Shift over Years
by: Wang, Hongjun, et al.
Published: (2024)
by: Wang, Hongjun, et al.
Published: (2024)
Similar Items
-
SQLBarber: A System Leveraging Large Language Models to Generate Customized and Realistic SQL Workloads
by: Lao, Jiale, et al.
Published: (2025) -
Category-Aware Semantic Caching for Heterogeneous LLM Workloads
by: Wang, Chen, et al.
Published: (2025) -
DOT: Dynamic Knob Selection and Online Sampling for Automated Database Tuning
by: Wang, Yifan, et al.
Published: (2026) -
QUITE: A Query Rewrite System Beyond Rules with LLM Agents
by: Song, Yuyang, et al.
Published: (2025) -
GenDB: The Next Generation of Query Processing -- Synthesized, Not Engineered
by: Lao, Jiale, et al.
Published: (2026)