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05/01/2023
An Update-intensive LSM-based R-tree Index
Many applications require update-intensive workloads on spatial objects,...
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04/19/2023
Tutorial: The Ubiquitous Skiplist, its Variants, and Applications in Modern Big Data Systems
The Skiplist, or skip list, originally designed as an in-memory data str...
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07/07/2022
The Case for Distributed Shared-Memory Databases with RDMA-Enabled Memory Disaggregation
Memory disaggregation (MD) allows for scalable and elastic data center d...
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07/01/2022
The "AI+R"-tree: An Instance-optimized R-tree
The emerging class of instance-optimized systems has shown potential to ...
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06/20/2022
ILX: Intelligent "Location+X" Data Systems (Vision Paper)
Due to the ubiquity of mobile phones and location-detection devices, loc...
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12/25/2021
An Experimental Evaluation and Investigation of Waves of Misery in R-trees
Waves of misery is a phenomenon where spikes of many node splits occur o...
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10/05/2021
Scalable Relational Query Processing on Big Matrix Data
The use of large-scale machine learning methods is becoming ubiquitous i...
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08/29/2020
STULL: Unbiased Online Sampling for Visual Exploration of Large Spatiotemporal Data
Online sampling-supported visual analytics is increasingly important, as...
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02/27/2020
SWARM: Adaptive Load Balancing in Distributed Streaming Systems for Big Spatial Data
The proliferation of GPS-enabled devices has led to the development of n...
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07/08/2019
LocationSpark: In-memory Distributed Spatial Query Processing and Optimization
Due to the ubiquity of spatial data applications and the large amounts o...
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07/08/2019
In-memory Distributed Spatial Query Processing and Optimization
Due to the ubiquity of spatial data applications and the large amounts o...
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12/26/2017
Pattern-Driven Data Cleaning
Data is inherently dirty and there has been a sustained effort to come u...
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12/24/2017
Human-Centric Data Cleaning [Vision]
Data Cleaning refers to the process of detecting and fixing errors in th...
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09/20/2017
SBG-Sketch: A Self-Balanced Sketch for Labeled-Graph Stream Summarization
Applications in various domains rely on processing graph streams, e.g., ...
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09/20/2017
Empowering In-Memory Relational Database Engines with Native Graph Processing
The plethora of graphs and relational data give rise to many interesting...
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09/08/2017