State-Aware Performance Reproducibility in Stateful Serverless Applications

This research paper investigates performance reproducibility in stateful serverless applications. It examines how state-related factors, including state size and state access patterns, interact with workload characteristics and execution environments to influence performance variability. The study focuses on understanding the sources of performance variance and identifying factors that affect the reproducibility of performance measurements in stateful serverless systems. The findings aim to provide a foundation for more reliable and reproducible performance evaluation of stateful serverless applications.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-14
DOI
https://doi.org/10.5281/zenodo.22741190
Primary Topic
Software System Performance and Reliability
Type
article
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State-Aware Performance Reproducibility in Stateful Serverless Applications

Sonigra Aarti
Zenodo (CERN European Organization for Nuclear Research)
Software System Performance and Reliability
article

State-Aware Performance Reproducibility in Stateful Serverless Applications

Sonigra Aarti
article en

Abstract

This research paper investigates performance reproducibility in stateful serverless applications. It examines how state-related factors, including state size and state access patterns, interact with workload characteristics and execution environments to influence performance variability. The study focuses on understanding the sources of performance variance and identifying factors that affect the reproducibility of performance measurements in stateful serverless systems. The findings aim to provide a foundation for more reliable and reproducible performance evaluation of stateful serverless applications.

Zenodo (CERN European Organization for Nuclear Research)
Uka Tarsadia University (IN)
Gender equality
Openalex Percentile: Top 8%
Software System Performance and Reliability
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