Demo Data from EDBT 2026 / reviewers in the wild / expert
Harish Srinivas
dblp:228/0261
· DBLP profile ↗
3ranked-venue papers
1as first author
2since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 first-author · 1 since 2021Software engineering, systems software and programming languages · 1Databases, 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.
| Network and information security
1 paper |
Privacy and data protection · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
2 papers |
Storage systems · 48% Distributed systems · 38% Cloud and datacenter computing · 14% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Privacy and data protection › privacy-preserving data analysis
federated analytics |
0.9 | 1 | 2025 | PAPAYA Federated Analytics Stack: Engineering Privacy, Scalability and Practicality · NSDI 2025 |
Storage systems
distributed storage |
0.3 | 1 | 2018 | Sharding the Shards: Managing Datastore Locality at Scale with Akkio · OSDI 2018 |
Distributed systems
distributed coordination |
0.3 | 1 | 2025 | PAPAYA Federated Analytics Stack: Engineering Privacy, Scalability and Practicality · NSDI 2025 |
Cloud and datacenter computing
cluster resource management and scheduling |
0.1 | 1 | 2018 | Sharding the Shards: Managing Datastore Locality at Scale with Akkio · OSDI 2018 |
Methods — techniques the papers use, named apart from their topics
sharding · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | PAPAYA Federated Analytics Stack: Engineering Privacy, Scalability and Practicality
Harish Srinivas, Graham Cormode, Mehrdad Honarkhah, Samuel Lurye, Jonathan Hehir, Lunwen He, George Hong, Ahmed Magdy, Dzmitry Huba, Shen Guo, Shoubhik Bhattacharya |
NSDI | 1 |
| 2024 | Private and Efficient Federated Numerical Aggregation
Graham Cormode, Igor L. Markov, Harish Srinivas |
EDBT | 3 |
| 2018 | Sharding the Shards: Managing Datastore Locality at Scale with Akkio
Muthukaruppan Annamalai, Kaushik Ravichandran 0003, Harish Srinivas, Igor Zinkovsky, Luning Pan, Tony Savor, David Nagle, Michael Stumm |
OSDI | 3 |