# Function-as-a-Service Benchmarking Framework

## TL;DR

This paper introduces a benchmarking framework for Function-as-a-Service platforms, enabling performance evaluation and insights into factors affecting cloud function performance.

## Contribution

It presents a novel architectural design for a FaaS benchmarking tool and demonstrates its effectiveness on an isolated platform.

## Key findings

- Users can gain performance insights into FaaS environments
- The framework helps identify factors influencing cloud function performance
- Benchmarking results guide resource allocation decisions

## Abstract

Cloud Service Providers deliver their products in form of 'as-a-Service', which are typically categorized by the level of abstraction. This approach hides the implementation details and shows only functionality to the user. However, the problem is that it is hard to measure the performance of Cloud services, because they behave like black boxes. Especially with Function-as-a-Service it is even more difficult because it completely hides server and infrastructure management from users by design. Cloud Service Prodivers usually restrict the maximum size of code, memory and runtime of Cloud Functions. Nevertheless, users need clarification if more ressources are needed to deliver services in high quality. In this regard, we present the architectural design of a new Function-as-a-Service benchmarking tool, which allows users to evaluate the performance of Cloud Functions. Furthermore, the capabilities of the framework are tested on an isolated platform with a specific workload. The results show that users are able to get insights into Function-as-a-Service environments. This, in turn, allows users to identify factors which may slow down or speed up the performance of Cloud Functions.