most citedTowards VM Rescheduling Optimization Through Deep Reinforcement Learning

10 citations · 22 across the 11 of their papers we have counts for

collaborators

14 papers

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.DB20252 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.LG202510 cited

Towards VM Rescheduling Optimization Through Deep Reinforcement Learning

Xianzhong Ding, Yunkai Zhang, Binbin Chen +6

Modern industry-scale data centers need to manage a large number of virtual machines (VMs). Due to the continual creation and release of VMs, many small resource fragments are scat…

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…