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Demo Data from EDBT 2026 / reviewers in the wild / expert

Nimish Sheth

dblp:429/5735 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2026
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Computer networks · 1 · 1 since 2021Databases, data management, data science and information retrieval · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 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
Cloud and datacenter computing · 62% Distributed systems · 38%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Distributed systems › fault tolerance › high availability
failover		 0.312026
Uber's Failover Architecture: Reconciling Reliability and Efficiency in Hyperscale Microservice Infrastructure · NSDI 2026
Distributed systems
fault tolerance		 0.312026
Uber's Failover Architecture: Reconciling Reliability and Efficiency in Hyperscale Microservice Infrastructure · NSDI 2026
YearPublicationVenuePosition
2026 Uber's Failover Architecture: Reconciling Reliability and Efficiency in Hyperscale Microservice Infrastructure
Mayank Bansal, Milind Chabbi, Kenneth Bogh, Srikanth Prodduturi, Kevin Xu, David Bell, Ranjib Dey, Yufei Ren, Juan Marcano, Shriniket Kale, Subhav Pradhan, Ivan Beschastnikh, Miguel Covarrubias, Chien-Chih Liao, Sandeep Koushik Sheshadri, Ashish Samant, Sahil Rihan, Nimish Sheth, Albert G. Greenberg, Uday Kiran Medisetty
 NSDI22
2025 Joining the Dots: Efficient Joins Over Parent-Child Ordered Postings Lists
Karthikeyan Ramasamy, Yupeng Fu, Jinny Jingyu Wang, Tejas Naik, George Zhai, Saurabh Kathpalia, Noah Schlager, Kamyar Arbabifard, Sandhya Sainath, Kunal Veera, Vivek Muniyandi, Nimish Sheth, Yiyu Pan, Tao Gui, Kaustubh Butte, Monika Agarwal, Aparajita Pandey
 IEEE Big Data14