Demo Data from EDBT 2026 / reviewers in the wild / expert
Dan Mastrian
dblp:217/6592
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1
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 |
Distributed systems · 77% Cloud and datacenter computing · 23% | |
| Software engineering, system software, and programming languages
1 paper |
Services computing and microservices · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Services computing and microservices
microservice architecture |
0.3 | 1 | 2018 | Service fabric: a distributed platform for building microservices in the cloud · EuroSys 2018 |
Distributed systems › consistency models
distributed consistency |
0.3 | 1 | 2018 | Service fabric: a distributed platform for building microservices in the cloud · EuroSys 2018 |
Distributed systems
fault tolerance |
0.3 | 1 | 2018 | Service fabric: a distributed platform for building microservices in the cloud · EuroSys 2018 |
Cloud and datacenter computing
cloud platform |
0.1 | 1 | 2018 | Service fabric: a distributed platform for building microservices in the cloud · EuroSys 2018 |
Cloud and datacenter computing › cloud platform
production cloud systems |
0.1 | 1 | 2018 | Service fabric: a distributed platform for building microservices in the cloud · EuroSys 2018 |
Methods — techniques the papers use, named apart from their topics
fault tolerance · 0.7distributed coordination · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Service fabric: a distributed platform for building microservices in the cloudabstractWe describe Service Fabric (SF), Microsoft's distributed platform for building, running, and maintaining microservice applications in the cloud. SF has been running in production for 10+ years, powering many critical services at Microsoft. This paper outlines key design philosophies in SF. We then adopt a bottom-up approach to describe low-level components in its architecture, focusing on modular use and support for strong semantics like fault-tolerance and consistency within each component of SF. We discuss lessons learned, and present experimental results from production data. Gopal Kakivaya, Lu Xun, Richard Hasha, Shegufta Bakht Ahsan, Todd Pfleiger, Rishi Sinha, Mihail Tarta, Mark Fussell, Vipul Modi, Mansoor Mohsin, Ray Kong, Anmol Ahuja, Oana Platon, Alex Wun, Matthew Snider, Chacko Daniel, Dan Mastrian, Aprameya Rao, Vaishnav Kidambi, Randy Wang, Abhishek Ram, Sumukh Shivaprakash, Rajeet Nair, Alan Warwick, Bharat S. Narasimman, Jeffrey Chen, Abhay Balkrishna Mhatre, Preetha Subbarayalu, Mert Coskun, Indranil Gupta |
EuroSys | 18 |