activity
20172020
most citedBestConfig: Tapping the Performance Potential of Systems via Automatic Configuration Tuning

237 citations · 282 across the 9 of their papers we have counts for

collaborators

9 papers

cs.NE2020★ 14 cited

Evolutionary Architecture Search for Graph Neural Networks

Min Shi, David A. Wilson, Xingquan Zhu +4

Automated machine learning (AutoML) has seen a resurgence in interest with the boom of deep learning over the past decade. In particular, Neural Architecture Search (NAS) has seen…

cs.LG2019★ 4 cited

Multi-Label Graph Convolutional Network Representation Learning

Min Shi, Yufei Tang, Xingquan Zhu +1

Knowledge representation of graph-based systems is fundamental across many disciplines. To date, most existing methods for representation learning primarily focus on networks with…

cs.LG2019★ 2 cited

Feature-Attention Graph Convolutional Networks for Noise Resilient Learning

Min Shi, Yufei Tang, Xingquan Zhu +1

Noise and inconsistency commonly exist in real-world information networks, due to inherent error-prone nature of human or user privacy concerns. To date, tremendous efforts have be…

cs.PF2019★ 12 cited

ClassyTune: A Performance Auto-Tuner for Systems in the Cloud

Yuqing Zhu, Jianxun Liu

Performance tuning can improve the system performance and thus enable the reduction of cloud computing resources needed to support an application. Due to the ever increasing number…

cs.PF2017★ 237 cited

BestConfig: Tapping the Performance Potential of Systems via Automatic Configuration Tuning

Yuqing Zhu, Jianxun Liu, Mengying Guo +5

An ever increasing number of configuration parameters are provided to system users. But many users have used one configuration setting across different workloads, leaving untapped…

cs.DC2017★ 9 cited

ACTS in Need: Automatic Configuration Tuning with Scalability Guarantees

Yuqing Zhu, Jianxun Liu, Mengying Guo +2

To support the variety of Big Data use cases, many Big Data related systems expose a large number of user-specifiable configuration parameters. Highlighted in our experiments, a My…

cs.DC2017

Transaction Support over Redis: An Overview

Yuqing Zhu, Jianxun Liu, Mengying Guo +2

This document outlines the approach to supporting cross-node transactions over a Redis cluster.

cs.DC2017★ 2 cited

ACIA, not ACID: Conditions, Properties and Challenges

Yuqing Zhu, Jianxun Liu, Mengying Guo +3

Although ACID is the previous golden rule for transaction support, durability is now not a basic requirement for data storage. Rather, high availability is becoming the first-class…

cs.DC2017★ 2 cited

To Vote Before Decide: A Logless One-Phase Commit Protocol for Highly-Available Datastores

Yuqing Zhu, Philip S. Yu, Guolei Yi +3

Highly-available datastores are widely deployed for online applications. However, many online applications are not contented with the simple data access interface currently provide…