Demo Data from EDBT 2026 / reviewers in the wild / expert
Somesh Chaturmohta
dblp:217/3866
· DBLP profile ↗
3ranked-venue papers
0as first author
2since 2021 · last 2023
0009-0001-5606-528XORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 3 · 2 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
3 papers |
Cloud and datacenter computing · 95% Hardware accelerators and domain-specific architectures · 5% | |
| Computer networks
1 paper |
Routing and switching · 100% | |
| Software engineering, system software, and programming languages
1 paper |
Services computing and microservices · 100% |
Topics — the 6 heaviest of 8, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cloud and datacenter computing
resource management |
0.7 | 1 | 2023 | Switchboard: Efficient Resource Management for Conferencing Services · SIGCOMM 2023 |
Routing and switching › traffic engineering
WAN traffic engineering |
0.6 | 1 | 2022 | TIPSY: predicting where traffic will ingress a WAN · SIGCOMM 2022 |
Cloud and datacenter computing › virtualization
network virtualization |
0.3 | 1 | 2018 | Azure Accelerated Networking: SmartNICs in the Public Cloud · NSDI 2018 |
Cloud and datacenter computing › computation offloading › network function offloading
SmartNIC offload |
0.3 | 1 | 2018 | Azure Accelerated Networking: SmartNICs in the Public Cloud · NSDI 2018 |
Cloud and datacenter computing
virtualization |
0.3 | 1 | 2018 | Azure Accelerated Networking: SmartNICs in the Public Cloud · NSDI 2018 |
Hardware accelerators and domain-specific architectures
network accelerator |
0.1 | 1 | 2018 | Azure Accelerated Networking: SmartNICs in the Public Cloud · NSDI 2018 |
Methods — techniques the papers use, named apart from their topics
scheduling · 1.3optimization · 1.3machine learning prediction · 1.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Switchboard: Efficient Resource Management for Conferencing ServicesabstractResource management is important for conferencing services (such as Microsoft Teams, Zoom) to ensure good user experience while keeping the costs low. Key to this is the efficient provisioning and assignment of media processing (MP) servers, which do the heavy lifting of mixing and redistributing the media streams from and to the call participants. Rahul Bothra, Rohan Gandhi, Ranjita Bhagwan, Venkat N. Padmanabhan, Steve Carlson, Vinayaka Kamath, Sreangsu Acharyya, Ken Sueda, Somesh Chaturmohta, Harsha Sharma |
SIGCOMM | 10 |
| 2022 | TIPSY: predicting where traffic will ingress a WANabstractIn addition to consumer workloads, public cloud providers host enterprise workloads such as video conferencing and AI+ML pipelines. Enterprise workloads can, at times, overwhelm the available ingress capacity on individual peering links. Traditional techniques to address this problem in the consumer setting do not always apply here, such as use of CDN caches in eyeball networks. Michael Markovitch, Sharad Agarwal, Rodrigo Fonseca, Ryan Beckett, Chuanji Zhang, Irena Atov, Somesh Chaturmohta |
SIGCOMM | 7 |
| 2018 | Azure Accelerated Networking: SmartNICs in the Public Cloud
Daniel Firestone, Andrew Putnam, Sambrama Mundkur, Derek Chiou, Alireza Dabagh, Mike Andrewartha, Hari Angepat, Vivek Bhanu, Adrian M. Caulfield, Eric S. Chung, Harish Kumar Chandrappa, Somesh Chaturmohta, Matt Humphrey, Jack Lavier, Norman Lam, Fengfen Liu, Kalin Ovtcharov, Jitendra Padhye, Gautham Popuri, Shachar Raindel, Tejas Sapre, Mark Shaw 0001, Gabriel Silva, Madhan Sivakumar, Nisheeth Srivastava, Anshuman Verma, Qasim Zuhair, Deepak Bansal, Doug Burger, Kushagra Vaid, David A. Maltz, Albert G. Greenberg |
NSDI | 12 |