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Jing Jing Long

dblp:78/6616 · DBLP profile ↗
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4ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 2Human-computer interaction and ubiquitous computing · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
2 papers
Database system architecture and tuning · 48% Query processing and optimization · 39% Indexing and storage engines · 10%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Cloud and datacenter computing · 100%
Human-computer interaction and pervasive computing
1 paper
User interface design and tools · 77% Ubiquitous computing and smart environments · 23%

Topics — the 4 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Database system architecture and tuning
disaggregated storage and compute
0.412020
Dremel: A Decade of Interactive SQL Analysis at Web Scale · Proc. VLDB Endow. 2020
Indexing and storage engines
columnar storage
0.112010
Dremel: Interactive Analysis of Web-Scale Datasets · Proc. VLDB Endow. 2010
User interface design and tools
user interface generation
0.112005
Fast and Robust Interface Generation for Ubiquitous Applications · UbiComp 2005
Distributed and cloud data management
mapreduce
0.012010
Dremel: Interactive Analysis of Web-Scale Datasets · Proc. VLDB Endow. 2010

Methods — techniques the papers use, named apart from their topics

columnar storage · 0.9in-situ analysis · 0.4in situ analysis · 0.4multi-level execution trees · 0.1columnar data layout · 0.1
YearPublicationVenuePosition
2020 Dremel: A Decade of Interactive SQL Analysis at Web Scale
abstract
Google's Dremel was one of the first systems that combined a set of architectural principles that have become a common practice in today's cloud-native analytics tools, including disaggregated storage and compute, in situ analysis, and columnar storage for semistructured data. In this paper, we discuss how these ideas evolved in the past decade and became the foundation for Google BigQuery.
Sergey Melnik 0001, Andrey Gubarev, Jing Jing Long, Geoffrey Romer, Shiva Shivakumar, Matt Tolton, Theo Vassilakis, Hossein Ahmadi 0001, Dan Delorey, Slava Min, Mosha Pasumansky, Jeff Shute
Proc. VLDB Endow.3
2010 Dremel: Interactive Analysis of Web-Scale Datasets
abstract
Dremel is a scalable, interactive ad-hoc query system for analysis of read-only nested data. By combining multi-level execution trees and columnar data layout, it is capable of running aggregation queries over trillion-row tables in seconds. The system scales to thousands of CPUs and petabytes of data, and has thousands of users at Google. In this paper, we describe the architecture and implementation of Dremel, and explain how it complements MapReduce-based computing. We present a novel columnar storage representation for nested records and discuss experiments on few-thousand node instances of the system.
Sergey Melnik 0001, Andrey Gubarev, Jing Jing Long, Geoffrey Romer, Shiva Shivakumar, Matt Tolton, Theo Vassilakis
Proc. VLDB Endow.3
2006 Automatically generating custom user interfaces for users with physical disabilities
abstract
No abstract available.
Krzysztof Z. Gajos, Jing Jing Long, Daniel S. Weld
ASSETS2
2005 Fast and Robust Interface Generation for Ubiquitous Applications
Krzysztof Z. Gajos, David B. Christianson, Raphael Hoffmann, Tal Shaked, Kiera Henning, Jing Jing Long, Daniel S. Weld
UbiComp6