Demo Data from SIGIR 2026 / reviewers in the wild / expert
Mircea Oancea
dblp:92/11411
· DBLP profile ↗
2ranked-venue papers
0as 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 · 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 |
Distributed and cloud data management · 64% Database system architecture and tuning · 36% | |
| Computer architecture, parallel and distributed computing, and storage systems
2 papers |
Distributed systems · 100% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Distributed and cloud data management › distributed database architecture
distributed relational database |
0.2 | 1 | 2013 | F1: A Distributed SQL Database That Scales · Proc. VLDB Endow. 2013 |
Distributed systems
replication and consistency |
0.2 | 1 | 2013 | F1: A Distributed SQL Database That Scales · Proc. VLDB Endow. 2013 |
Database system architecture and tuning
relational database system |
0.1 | 1 | 2012 | F1: the fault-tolerant distributed RDBMS supporting google's ad business · SIGMOD Conference 2012 |
Distributed systems
distributed database |
0.1 | 1 | 2012 | F1: the fault-tolerant distributed RDBMS supporting google's ad business · SIGMOD Conference 2012 |
Distributed and cloud data management › distributed query processing
distributed query engine |
0.0 | 1 | 2013 | F1: A Distributed SQL Database That Scales · Proc. VLDB Endow. 2013 |
Distributed and cloud data management
distributed data store |
0.0 | 1 | 2012 | F1: the fault-tolerant distributed RDBMS supporting google's ad business · SIGMOD Conference 2012 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | F1: A Distributed SQL Database That ScalesabstractF1 is a distributed relational database system built at Google to support the AdWords business. F1 is a hybrid database that combines high availability, the scalability of NoSQL systems like Bigtable, and the consistency and usability of traditional SQL databases. F1 is built on Spanner, which provides synchronous cross-datacenter replication and strong consistency. Synchronous replication implies higher commit latency, but we mitigate that latency by using a hierarchical schema model with structured data types and through smart application design. F1 also includes a fully functional distributed SQL query engine and automatic change tracking and publishing. Jeff Shute, Radek Vingralek, Bart Samwel, Ben Handy, Chad Whipkey, Eric Rollins, Mircea Oancea, Kyle Littlefield, David Menestrina, Stephan Ellner, John Cieslewicz, Ian Rae, Traian Stancescu, Himani Apte |
Proc. VLDB Endow. | 7 |
| 2012 | F1: the fault-tolerant distributed RDBMS supporting google's ad businessabstractMany of the services that are critical to Google's ad business have historically been backed by MySQL. We have recently migrated several of these services to F1, a new RDBMS developed at Google. F1 implements rich relational database features, including a strictly enforced schema, a powerful parallel SQL query engine, general transactions, change tracking and notification, and indexing, and is built on top of a highly distributed storage system that scales on standard hardware in Google data centers. The store is dynamically sharded, supports transactionally-consistent replication across data centers, and is able to handle data center outages without data loss. Jeff Shute, Mircea Oancea, Stephan Ellner, Ben Handy, Eric Rollins, Bart Samwel, Radek Vingralek, Chad Whipkey, Beat Jegerlehner, Kyle Littlefield, Phoenix Tong |
SIGMOD Conference | 2 |