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Yizuo Tian

dblp:213/9023 · DBLP profile ↗
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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
Cloud and datacenter computing · 72% Distributed systems · 22% Storage systems · 7%

Topics — the 4 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cloud and datacenter computing › cloud storage
multi-tenant cloud storage
0.312018
CloudKit: Structured Storage for Mobile Applications · Proc. VLDB Endow. 2018
Cloud and datacenter computing › multi-tenancy
tenant isolation
0.112021
QuiCK: A Queuing System in CloudKit · SIGMOD Conference 2021
Cloud and datacenter computing
cloud storage
0.112018
CloudKit: Structured Storage for Mobile Applications · Proc. VLDB Endow. 2018
Storage systems › data management
petabyte-scale data management
0.112018
CloudKit: Structured Storage for Mobile Applications · Proc. VLDB Endow. 2018

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

two-level sharding · 0.5FoundationDB Record Layer · 0.5
YearPublicationVenuePosition
2021 QuiCK: A Queuing System in CloudKit
abstract
We present QuiCK, a queuing system built for managing asynchronous tasks in CloudKit, Apple's storage backend service. QuiCK stores queued messages along with user data in CloudKit, and supports CloudKit's tenancy model including isolation, fair resource allocation, observability, and tenant migration. QuiCK is built on the FoundationDB Record Layer, an open source transactional DBMS. It employs massive two-level sharding, with tens of billions of queues on the first level (separately storing the queued items for each user of every CloudKit app), and hundreds of queues on a second level (one per FoundationDB cluster used by CloudKit). Our evaluation demonstrates that QuiCK scales linearly with additional consumer resources, effectively avoids contention, provides fairness across CloudKit tenants, and executes deferred tasks with low latency.
Kfir Lev-Ari, Yizuo Tian, Alexander Shraer, Chris Douglas, Andrey Andreev, Kevin Beranek, Scott Dugas, Alec Grieser, Jeremy Hemmo
SIGMOD Conference2
2018 CloudKit: Structured Storage for Mobile Applications
abstract
CloudKit is Apple's cloud backend service and application development framework that provides strongly-consistent storage for structured data and makes it easy to synchronize data across user devices or share it among multiple users. Launched more than 3 years ago, CloudKit forms the foundation for more than 50 Apple apps, including many of our most important and popular applications such as Photos, iCloud Drive, Notes, Keynote, and News, as well as many third-party apps. To deliver this at large scale, CloudKit explicitly leverages multi-tenancy at the application level as well as at the user level to guide efficient data placement and distribution. By using CloudKit application developers are free to focus on delivering the application front-end and logic while relying on CloudKit for scale, consistency, durability and security. CloudKit manages petabytes of data and handles hundreds of millions of users around the world on a daily basis.
Alexander Shraer, Alexandre Aybes, Bryan Davis, Christos Chrysafis, Dave Browning, Eric Krugler, Eric Stone, Harrison Chandler, Jacob Farkas, Jonathan Ruben, Michael Ford, Mike McMahon, Nathan Williams, Nicolas Favre-Felix, Nihar Sharma, Ori Herrnstadt, Paul Seligman, Raghav Pisolkar, Scott Dugas, Scott Gray, Shirley Lu, Sytze Harkema, Valentin Kravtsov, Vanessa Hong, Wan Ling Yih, Yizuo Tian
Proc. VLDB Endow.27