Make Applications FaaS-ready: Challenges and Guidelines

Functions as a Service (FaaS) represents a recent advancement in the cloud computing paradigm, offering a fine-grained deployment model that enables the execution of individual functions on cloud infrastructure. This paradigm shift promises enhanced scalability and potential cost efficiencies by leveraging the sophisticated, geographically distributed infrastructure of cloud service providers, thereby optimizing performance through minimized latency. This paper systematically explores the critical considerations for adopting FaaS, focusing on challenges such as provider selection, performance optimization, inter-function communication, and dependency management. Through a qualitative research methodology, including a comprehensive literature review and experiential insights from serverless computing, this study provides both theoretical insights and practical guidelines. The findings aim to contextualize current academic discussions and niche approaches within the broader scope of FaaS, contributing to a deeper understanding of its implications. Specific recommendations include refactoring existing applications to resolve performance bottlenecks, strategies to avoid vendor lock-in, and minimizing latency in FaaS architectures.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1145/3704391.3704400
Primary Topic
Cloud Computing and Resource Management
Type
article
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article

Make Applications FaaS-ready: Challenges and Guidelines

Karl M. Goeschka, Richard Patsch
Cloud Computing and Resource Management
article

Make Applications FaaS-ready: Challenges and Guidelines

Karl M. Goeschka, Richard Patsch
article en

Abstract

Functions as a Service (FaaS) represents a recent advancement in the cloud computing paradigm, offering a fine-grained deployment model that enables the execution of individual functions on cloud infrastructure. This paradigm shift promises enhanced scalability and potential cost efficiencies by leveraging the sophisticated, geographically distributed infrastructure of cloud service providers, thereby optimizing performance through minimized latency. This paper systematically explores the critical considerations for adopting FaaS, focusing on challenges such as provider selection, performance optimization, inter-function communication, and dependency management. Through a qualitative research methodology, including a comprehensive literature review and experiential insights from serverless computing, this study provides both theoretical insights and practical guidelines. The findings aim to contextualize current academic discussions and niche approaches within the broader scope of FaaS, contributing to a deeper understanding of its implications. Specific recommendations include refactoring existing applications to resolve performance bottlenecks, strategies to avoid vendor lock-in, and minimizing latency in FaaS architectures.

University of Applied Sciences Technikum Wien (AT)
Openalex Percentile: Top 59%
Cloud Computing and Resource Management
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