tAPP OpenWhisk: A serverless platform for topology-aware allocation priority policies

The Function-as-a-Service (FaaS) paradigm offers a serverless approach that abstracts the management of underlying infrastructure, enabling developers to focus on application logic. However, leveraging infrastructure-aware features can further optimize serverless performance. We present a software prototype that enhances Apache OpenWhisk serverless platform with a novel architecture incorporating tAPP (topology-aware Allocation Priority Policies), a declarative language designed for specifying topology-aware scheduling policies. Through a case study involving distributed data access across multiple cloud regions, we show that tAPP can significantly reduce latency and minimizes performance variability compared to the standard OpenWhisk implementation.

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Publication Details

Journal
Science of Computer Programming
Published
2025-06-09
DOI
https://doi.org/10.1016/j.scico.2025.103349
Citations
1
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
3.25
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article

tAPP OpenWhisk: A serverless platform for topology-aware allocation priority policies

Giuseppe De Palma, Saverio Giallorenzo, Jacopo Mauro, Matteo Trentin et al.
1 citations
Science of Computer Programming
Cloud Computing and Resource Management
3.25
article

tAPP OpenWhisk: A serverless platform for topology-aware allocation priority policies

Giuseppe De Palma, Saverio Giallorenzo, Jacopo Mauro, Matteo Trentin, Gianluigi Zavattaro
article en
1 citations

Abstract

The Function-as-a-Service (FaaS) paradigm offers a serverless approach that abstracts the management of underlying infrastructure, enabling developers to focus on application logic. However, leveraging infrastructure-aware features can further optimize serverless performance. We present a software prototype that enhances Apache OpenWhisk serverless platform with a novel architecture incorporating tAPP (topology-aware Allocation Priority Policies), a declarative language designed for specifying topology-aware scheduling policies. Through a case study involving distributed data access across multiple cloud regions, we show that tAPP can significantly reduce latency and minimizes performance variability compared to the standard OpenWhisk implementation.

Science of Computer ProgrammingVol. 247
Institut national de recherche en sciences et technologies du numérique (FR), University of Southern Denmark (DK), University of Bologna (IT)
Openalex Percentile: Top 8%
Cloud Computing and Resource Management
3.25
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tAPP OpenWhisk: A serverless platform for topology-aware allocation priority policies — Giuseppe De Palma, Saverio Giallorenzo, et al. · Science of Computer Programming (2025) | TGRS Research Map | TGRS