Rusty Sears

dblp:295/3202 · DBLP profile ↗
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1ranked-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 · 1 · 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
1 paper
Storage systems · 70% Distributed systems · 23% Cloud and datacenter computing · 7%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Distributed systems › distributed database
distributed transactions
0.512021
FoundationDB: A Distributed Unbundled Transactional Key Value Store · SIGMOD Conference 2021
Storage systems
key-value storage
0.512021
FoundationDB: A Distributed Unbundled Transactional Key Value Store · SIGMOD Conference 2021
Storage systems
storage reliability
0.512021
FoundationDB: A Distributed Unbundled Transactional Key Value Store · SIGMOD Conference 2021
Storage systems › key-value storage
transactional key-value store
0.512021
FoundationDB: A Distributed Unbundled Transactional Key Value Store · SIGMOD Conference 2021
Cloud and datacenter computing
cloud infrastructure
0.112021
FoundationDB: A Distributed Unbundled Transactional Key Value Store · SIGMOD Conference 2021

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

deterministic simulation · 0.5
YearPublicationVenuePosition
2021 FoundationDB: A Distributed Unbundled Transactional Key Value Store
abstract
FoundationDB 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 Conference9