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20242026
most citedChatTS: Aligning Time Series with LLMs via Synthetic Data for Enhanced Understanding and Reasoning

17 citations · 34 across the 19 of their papers we have counts for

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15 papers · 1 filter

cs.DB2025

ZeroCard: Cardinality Estimation with Zero Dependence on Target Databases -- No Data, No Query, No Retraining

Xianghong Xu, Rong Kang, Xiao He +3

Cardinality estimation is a fundamental task in database systems and plays a critical role in query optimization. Despite significant advances in learning-based cardinality estimat…

cs.SE2025

ErrorPrism: Reconstructing Error Propagation Paths in Cloud Service Systems

Junsong Pu, Yichen Li, Zhuangbin Chen +6

Reliability management in cloud service systems is challenging due to the cascading effect of failures. Error wrapping, a practice prevalent in modern microservice development, enr…

cs.SE2025

LogPilot: Intent-aware and Scalable Alert Diagnosis for Large-scale Online Service Systems

Zhihan Jiang, Jinyang Liu, Yichen Li +7

Effective alert diagnosis is essential for ensuring the reliability of large-scale online service systems. However, on-call engineers are often burdened with manually inspecting ma…

cs.LG2025

Online Ensemble Transformer for Accurate Cloud Workload Forecasting in Predictive Auto-Scaling

Jiadong Chen, Xiao He, Hengyu Ye +4

In the swiftly evolving domain of cloud computing, the advent of serverless systems underscores the crucial need for predictive auto-scaling systems. This necessity arises to ensur…

cs.LG2025

Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services

Jiadong Chen, Hengyu Ye, Fuxin Jiang +4

Workload forecasting is pivotal in cloud service applications, such as auto-scaling and scheduling, with profound implications for operational efficiency. Although Transformer-base…

cs.DB2025★ 2 cited

Data-Agnostic Cardinality Learning from Imperfect Workloads

Peizhi Wu, Rong Kang, Tieying Zhang +3

Cardinality estimation (CardEst) is a critical aspect of query optimization. Traditionally, it leverages statistics built directly over the data. However, organizational policies (…

cs.DB2025

ABase: the Multi-Tenant NoSQL Serverless Database for Diverse and Dynamic Workloads in Large-scale Cloud Environments

Rong Kang, Yanbin Chen, Ye Liu +8

Multi-tenant architectures enhance the elasticity and resource utilization of NoSQL databases by allowing multiple tenants to co-locate and share resources. However, in large-scale…

cs.SE2025★ 4 cited

Adaptive and Efficient Log Parsing as a Cloud Service

Zeyan Li, Jie Song, Tieying Zhang +6

Logs are a critical data source for cloud systems, enabling advanced features like monitoring, alerting, and root cause analysis. However, the massive scale and diverse formats of…

cs.SE2025★ 4 cited

TickIt: Leveraging Large Language Models for Automated Ticket Escalation

Fengrui Liu, Xiao He, Tieying Zhang +6

In large-scale cloud service systems, support tickets serve as a critical mechanism for resolving customer issues and maintaining service quality. However, traditional manual ticke…

cs.DB2025★ 1 cited

PLM4NDV: Minimizing Data Access for Number of Distinct Values Estimation with Pre-trained Language Models

Xianghong Xu, Xiao He, Tieying Zhang +3

Number of Distinct Values (NDV) estimation of a multiset/column is a basis for many data management tasks, especially within databases. Despite decades of research, most existing m…

cs.DB2025

AdaNDV: Adaptive Number of Distinct Value Estimation via Learning to Select and Fuse Estimators

Xianghong Xu, Tieying Zhang, Xiao He +8

Estimating the Number of Distinct Values (NDV) is fundamental for numerous data management tasks, especially within database applications. However, most existing works primarily fo…

cs.DB2025

VIDEX: A Disaggregated and Extensible Virtual Index for the Cloud and AI Era

Rong Kang, Shuai Wang, Tieying Zhang +6

Virtual index, also known as hypothetical indexes, play a crucial role in database query optimization. However, with the rapid advancement of cloud computing and AI-driven models f…

cs.DB2025

LLMIA: An Out-of-the-Box Index Advisor via In-Context Learning with LLMs

Xinxin Zhao, Xinmei Huang, Haoyang Li +7

Index recommendation is crucial for optimizing database performance. However, existing heuristic- and learning-based methods often rely on inefficient exhaustive search and estimat…

cs.CL2025★ 2 cited

OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale

Haoyang Li, Shang Wu, Xiaokang Zhang +9

Text-to-SQL, the task of translating natural language questions into SQL queries, plays a crucial role in enabling non-experts to interact with databases. While recent advancements…

cs.SE2025★ 1 cited

Flow-of-Action: SOP Enhanced LLM-Based Multi-Agent System for Root Cause Analysis

Changhua Pei, Zexin Wang, Fengrui Liu +9

In the realm of microservices architecture, the occurrence of frequent incidents necessitates the employment of Root Cause Analysis (RCA) for swift issue resolution. It is common t…