Demo Data from EDBT 2026 / reviewers in the wild / expert
Ben Collins
dblp:234/7617
· DBLP profile ↗
2ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 2 · 1 since 2021
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.
| Computer architecture, parallel and distributed computing, and storage systems
2 papers |
Storage systems · 70% Distributed systems · 23% Cloud and datacenter computing · 7% | |
| Databases, data mining, and information retrieval
1 paper |
Database system architecture and tuning · 50% Indexing and storage engines · 50% |
Topics — the 6 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Distributed systems › distributed database
distributed transactions |
0.5 | 1 | 2021 | FoundationDB: A Distributed Unbundled Transactional Key Value Store · SIGMOD Conference 2021 |
Storage systems
key-value storage |
0.5 | 1 | 2021 | FoundationDB: A Distributed Unbundled Transactional Key Value Store · SIGMOD Conference 2021 |
Storage systems
storage reliability |
0.5 | 1 | 2021 | FoundationDB: A Distributed Unbundled Transactional Key Value Store · SIGMOD Conference 2021 |
Storage systems › key-value storage
transactional key-value store |
0.5 | 1 | 2021 | FoundationDB: A Distributed Unbundled Transactional Key Value Store · SIGMOD Conference 2021 |
Indexing and storage engines
secondary index |
0.4 | 1 | 2019 | FoundationDB Record Layer: A Multi-Tenant Structured Datastore · SIGMOD Conference 2019 |
Cloud and datacenter computing
cloud infrastructure |
0.1 | 1 | 2021 | FoundationDB: A Distributed Unbundled Transactional Key Value Store · SIGMOD Conference 2021 |
Methods — techniques the papers use, named apart from their topics
schema management · 0.8indexing · 0.8deterministic simulation · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | FoundationDB: A Distributed Unbundled Transactional Key Value StoreabstractFoundationDB is an open source transactional key value store created more than ten years ago. It is one of the first systems to combine the flexibility and scalability of NoSQL architectures with the power of ACID transactions (a.k.a. NewSQL). FoundationDB adopts an unbundled architecture that decouples an in-memory transaction management system, a distributed storage system, and a built-in distributed configuration system. Each sub-system can be independently provisioned and configured to achieve the desired scalability, high-availability and fault tolerance properties. FoundationDB uniquely integrates a deterministic simulation framework, used to test every new feature of the system under a myriad of possible faults. This rigorous testing makes FoundationDB extremely stable and allows developers to introduce and release new features in a rapid cadence. FoundationDB offers a minimal and carefully chosen feature set, which has enabled a range of disparate systems (from semi-relational databases, document and object stores, to graph databases and more) to be built as layers on top. FoundationDB is the underpinning of cloud infrastructure at Apple, Snowflake and other companies, due to its consistency, robustness and availability for storing user data, system metadata and configuration, and other critical information. Jingyu Zhou, Meng Xu 0023, Alexander Shraer, Bala Namasivayam, Evan Tschannen, Steve Atherton, Andrew J. Beamon, Rusty Sears, John Leach, Dave Rosenthal, Will Wilson, Ben Collins, David Scherer, Alec Grieser, Young Liu, Alvin Moore, Bhaskar Muppana, Xiaoge Su, Vishesh Yadav |
SIGMOD Conference | 14 |
| 2019 | FoundationDB Record Layer: A Multi-Tenant Structured DatastoreabstractThe FoundationDB Record Layer is an open source library that provides a record-oriented data store with semantics similar to a relational database implemented on top of FoundationDB, an ordered, transactional key-value store. The Record Layer provides a lightweight, highly extensible way to store structured data. It offers schema management and a rich set of query and indexing facilities, some of which are not usually found in traditional relational databases, such as nested record types, indexes on commit versions, and indexes that span multiple record types. The Record Layer is stateless and built for massive multi-tenancy, encapsulating and isolating all of a tenant's state, including indexes, into a separate logical database. We demonstrate how the Record Layer is used by CloudKit, Apple's cloud backend service, to provide powerful abstractions to applications serving hundreds of millions of users. CloudKit uses the Record Layer to host billions of independent databases, many with a common schema. Features provided by the Record Layer enable CloudKit to provide richer APIs and stronger semantics with reduced maintenance overhead and improved scalability. Christos Chrysafis, Ben Collins, Scott Dugas, Jay Dunkelberger, Moussa Ehsan, Scott Gray, Alec Grieser, Ori Herrnstadt, Kfir Lev-Ari, Mike McMahon, Nicholas Schiefer, Alexander Shraer |
SIGMOD Conference | 2 |