Walid G. Aref | DeepAI

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∙ 05/01/2023

An Update-intensive LSM-based R-tree Index

Many applications require update-intensive workloads on spatial objects,...

0 Jaewoo Shin, et al. ∙

∙ 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...

0 Venkata Sai Pavan Kumar Vadrevu, et al. ∙

∙ 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...

0 Ruihong Wang, et al. ∙

∙ 07/01/2022

The "AI+R"-tree: An Instance-optimized R-tree

The emerging class of instance-optimized systems has shown potential to ...

3 Abdullah-Al Mamun, et al. ∙

∙ 06/20/2022

ILX: Intelligent "Location+X" Data Systems (Vision Paper)

Due to the ubiquity of mobile phones and location-detection devices, loc...

0 Walid G. Aref, et al. ∙

∙ 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...

0 Lu Xing, et al. ∙

∙ 10/05/2021

Scalable Relational Query Processing on Big Matrix Data

The use of large-scale machine learning methods is becoming ubiquitous i...

0 Yongyang Yu, et al. ∙

∙ 08/29/2020

STULL: Unbiased Online Sampling for Visual Exploration of Large Spatiotemporal Data

Online sampling-supported visual analytics is increasingly important, as...

0 Guizhen Wang, et al. ∙

∙ 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...

0 Anas Daghistani, et al. ∙

∙ 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...

0 Mingjie Tang, et al. ∙

∙ 07/08/2019

In-memory Distributed Spatial Query Processing and Optimization

Due to the ubiquity of spatial data applications and the large amounts o...

0 Mingjie Tang, et al. ∙

∙ 12/26/2017

Pattern-Driven Data Cleaning

Data is inherently dirty and there has been a sustained effort to come u...

0 El Kindi Rezig, et al. ∙

∙ 12/24/2017

Human-Centric Data Cleaning [Vision]

Data Cleaning refers to the process of detecting and fixing errors in th...

0 El Kindi Rezig, et al. ∙

∙ 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., ...

0 Mohamed S. Hassan, et al. ∙

∙ 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...

0 Mohamed S. Hassan, et al. ∙

∙ 09/08/2017

FAST: Frequency-Aware Spatio-Textual Indexing for In-Memory Continuous Filter Query Processing

Many applications need to process massive streams of spatio-textual data...

0 Ahmed R. Mahmood, et al. ∙

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