EDBT 2026 Demo / reviewers in the wild / expert
Sonia Margulis
dblp:189/0000
· DBLP profile ↗
3ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 3
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
3 papers |
Cloud and datacenter computing · 63% Parallel and multicore computing · 20% Distributed systems · 17% | |
| Computer networks
1 paper |
Network performance modeling · 100% |
Topics — the 6 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cloud and datacenter computing › resource management
datacenter resource management |
0.4 | 1 | 2019 | Taiji: managing global user traffic for large-scale internet services at the edge · SOSP 2019 |
Parallel and multicore computing
load balancing |
0.4 | 1 | 2019 | Taiji: managing global user traffic for large-scale internet services at the edge · SOSP 2019 |
Cloud and datacenter computing › datacenter operations
datacenter reliability |
0.3 | 1 | 2018 | Maelstrom: Mitigating Datacenter-level Disasters by Draining Interdependent Traffic Safely and Efficiently · OSDI 2018 |
Distributed systems
fault tolerance |
0.3 | 1 | 2018 | Maelstrom: Mitigating Datacenter-level Disasters by Draining Interdependent Traffic Safely and Efficiently · OSDI 2018 |
Cloud and datacenter computing
cluster resource management and scheduling |
0.2 | 1 | 2016 | Kraken: Leveraging Live Traffic Tests to Identify and Resolve Resource Utilization Bottlenecks in Large Scale Web Services · OSDI 2016 |
Cloud and datacenter computing
datacenter operations |
0.2 | 1 | 2016 | Kraken: Leveraging Live Traffic Tests to Identify and Resolve Resource Utilization Bottlenecks in Large Scale Web Services · OSDI 2016 |
Methods — techniques the papers use, named apart from their topics
traffic management · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Taiji: managing global user traffic for large-scale internet services at the edgeabstractWe present Taiji, a new system for managing user traffic for large-scale Internet services that accomplishes two goals: 1) balancing the utilization of data centers and 2) minimizing network latency of user requests. Tianyin Xu, Kaushik Veeraraghavan, Andrew Newell, Sonia Margulis, Pol Mauri Ruiz, Justin Meza, Kiryong Ha, Shruti Padmanabha, Kevin Cole, Dmitri Perelman |
SOSP | 5 |
| 2018 | Maelstrom: Mitigating Datacenter-level Disasters by Draining Interdependent Traffic Safely and Efficiently
Kaushik Veeraraghavan, Justin Meza, Scott Michelson, Sankaralingam Panneerselvam, Alex Gyori, Sonia Margulis, Daniel Obenshain, Shruti Padmanabha, Ashish Shah, Yee Jiun Song, Tianyin Xu |
OSDI | 7 |
| 2016 | Kraken: Leveraging Live Traffic Tests to Identify and Resolve Resource Utilization Bottlenecks in Large Scale Web Services
Kaushik Veeraraghavan, Justin Meza, Wonho Kim, Sonia Margulis, Scott Michelson, Rajesh Nishtala, Daniel Obenshain, Dmitri Perelman, Yee Jiun Song |
OSDI | 5 |