Demo Data from EDBT 2026 / reviewers in the wild / expert
Leonidas Rigas
dblp:77/597
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1Software 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
2 papers |
Distributed systems · 66% Cloud and datacenter computing · 22% Energy-efficient computing · 11% |
Topics — the 9 heaviest of 9, 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 |
Cloud and datacenter computing
cluster resource management and scheduling |
0.1 | 1 | 2008 | Energy-Aware Server Provisioning and Load Dispatching for Connection-Intensive Internet Services · NSDI 2008 |
Energy-efficient computing › datacenter power management
energy-aware server provisioning |
0.1 | 1 | 2008 | Energy-Aware Server Provisioning and Load Dispatching for Connection-Intensive Internet Services · NSDI 2008 |
Energy-efficient computing
power management |
0.0 | 1 | 2008 | Energy-Aware Server Provisioning and Load Dispatching for Connection-Intensive Internet Services · NSDI 2008 |
Methods — techniques the papers use, named apart from their topics
queueing model · 0.1
| 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 | 27 |
| 2008 | Energy-Aware Server Provisioning and Load Dispatching for Connection-Intensive Internet Services
Wenbo He 0003, Jie Liu 0001, Suman Nath, Leonidas Rigas, Feng Zhao 0001 |
NSDI | 5 |