Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data.

Lior Abraham

dblp:135/4715 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 2013
—ORCID · none

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

Databases, data management, data science and information retrieval · 1 · 1 first-author

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
1 paper
Database system architecture and tuning · 50% Distributed and cloud data management · 50%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Performance modeling and evaluation · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Database system architecture and tuning › main-memory database
distributed in-memory database
0.212013
Scuba: Diving into Data at Facebook · Proc. VLDB Endow. 2013
Performance modeling and evaluation
performance monitoring
0.012013
Scuba: Diving into Data at Facebook · Proc. VLDB Endow. 2013

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

in-memory aggregation · 0.3distributed query processing · 0.3
YearPublicationVenuePosition
2013 Scuba: Diving into Data at Facebook
abstract
Facebook takes performance monitoring seriously. Performance issues can impact over one billion users so we track thousands of servers, hundreds of PB of daily network traffic, hundreds of daily code changes, and many other metrics. We require latencies of under a minute from events occuring (a client request on a phone, a bug report filed, a code change checked in) to graphs showing those events on developers' monitors. Scuba is the data management system Facebook uses for most real-time analysis. Scuba is a fast, scalable, distributed, in-memory database built at Facebook. It currently ingests millions of rows (events) per second and expires data at the same rate. Scuba stores data completely in memory on hundreds of servers each with 144 GB RAM. To process each query, Scuba aggregates data from all servers. Scuba processes almost a million queries per day. Scuba is used extensively for interactive, ad hoc, analysis queries that run in under a second over live data. In addition, Scuba is the workhorse behind Facebook's code regression analysis, bug report monitoring, ads revenue monitoring, and performance debugging.
Lior Abraham, John Allen, Oleksandr Barykin, Vinayak R. Borkar, Bhuwan Chopra, Ciprian Gerea, Daniel Merl, Josh Metzler, David Reiss, Subbu Subramanian, Janet L. Wiener, Okay Zed
Proc. VLDB Endow.1