Demo Data from EDBT 2026 / reviewers in the wild / expert
Vaman Bedekar
dblp:27/10322
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 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 · 83% Cloud and datacenter computing · 17% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cloud and datacenter computing
cloud storage |
0.1 | 1 | 2011 | Windows Azure Storage: a highly available cloud storage service with strong consistency · SOSP 2011 |
Distributed systems
fault tolerance |
0.1 | 1 | 2011 | Windows Azure Storage: a highly available cloud storage service with strong consistency · SOSP 2011 |
Distributed systems › replication
geo-replication |
0.1 | 1 | 2011 | Windows Azure Storage: a highly available cloud storage service with strong consistency · SOSP 2011 |
Distributed systems › fault tolerance
high availability |
0.1 | 1 | 2011 | Windows Azure Storage: a highly available cloud storage service with strong consistency · SOSP 2011 |
Distributed systems
replication |
0.1 | 1 | 2011 | Windows Azure Storage: a highly available cloud storage service with strong consistency · SOSP 2011 |
Distributed systems › consistency models
strong consistency |
0.1 | 1 | 2011 | Windows Azure Storage: a highly available cloud storage service with strong consistency · SOSP 2011 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | Windows Azure Storage: a highly available cloud storage service with strong consistencyabstractWindows Azure Storage (WAS) is a cloud storage system that provides customers the ability to store seemingly limitless amounts of data for any duration of time. WAS customers have access to their data from anywhere at any time and only pay for what they use and store. In WAS, data is stored durably using both local and geographic replication to facilitate disaster recovery. Currently, WAS storage comes in the form of Blobs (files), Tables (structured storage), and Queues (message delivery). In this paper, we describe the WAS architecture, global namespace, and data model, as well as its resource provisioning, load balancing, and replication systems. Brad Calder, Ju Wang 0010, Aaron Ogus, Niranjan Nilakantan, Arild Skjolsvold, Sam McKelvie, Yikang Xu, Shashwat Srivastav, Jiesheng Wu, Huseyin Simitci, Jaidev Haridas, Chakravarthy Uddaraju, Hemal Khatri, Andrew Edwards, Vaman Bedekar, Shane Mainali, Rafay Abbasi, Mian Fahim ul Haq, Muhammad Ikram ul Haq, Deepali Bhardwaj, Sowmya Dayanand, Anitha Adusumilli, Marvin McNett, Sriram Sankaran, Kavitha Manivannan, Leonidas Rigas |
SOSP | 15 |