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Thatta Premnath

dblp:434/0730 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0000-3892-5146ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 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.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Cloud and datacenter computing · 70% Performance modeling and evaluation · 30%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cloud and datacenter computing
autoscaling
1.012026
In-Production Characterization of an Open Source Serverless Platform and New Scaling Strategies · EuroSys 2026
Cloud and datacenter computing › serverless computing
function-as-a-service
1.012026
In-Production Characterization of an Open Source Serverless Platform and New Scaling Strategies · EuroSys 2026
Cloud and datacenter computing
serverless computing
1.012026
In-Production Characterization of an Open Source Serverless Platform and New Scaling Strategies · EuroSys 2026
Performance modeling and evaluation
workload characterization
1.012026
In-Production Characterization of an Open Source Serverless Platform and New Scaling Strategies · EuroSys 2026
Performance modeling and evaluation
benchmarking
0.312026
In-Production Characterization of an Open Source Serverless Platform and New Scaling Strategies · EuroSys 2026

Methods — techniques the papers use, named apart from their topics

trace analysis · 1.0
YearPublicationVenuePosition
2026 In-Production Characterization of an Open Source Serverless Platform and New Scaling Strategies
abstract
Serverless computing has become more popular and evolved to support more complex tasks than the original Function as a Service (FaaS) model. The design of serverless systems has advanced to accommodate application demands and offer flexibility. Careful characterization of modern serverless systems and understanding of current gaps are warranted. Publicly available datasets on workloads in select production serverless systems do not fully represent all offerings or capture traces at the required time resolution to identify changes in application-level request-response patterns.
Nima Nasiri, Nalin Munshi, Simon Moser, Marius Pirvu, Vijay Sundaresan, Daryl Maier, Thatta Premnath, Norman Böwing, Sathish Gopalakrishnan, Mohammad Shahrad
EuroSys7