# Cooling Down FaaS: Towards Getting Rid of Warm Starts

**Authors:** Dániel Géhberger, Dávid Kovács  
**arXiv:** [2206.00599](https://arxiv.org/abs/2206.00599)  
**Date:** 2022-06-01  
**Summary page:** https://www.summarizepaper.com/en/paper/2206.00599v1/

## Key points

- Authors Dániel Géhberger and Dávid Kovács focus on serverless execution, particularly the Function as a Service (FaaS) model
- Prevailing practice involves maintaining running execution environments to minimize function execution latency
- Study compares startup latency across various virtualization technologies
- Developed FaaS prototype system using IncludeOS unikernels for function execution
- System can initiate and execute functions with comparable latency levels to AWS Lambda
- Research highlights potential for simplified FaaS platforms that eliminate resource wastage and reduce monitoring requirements
- Proposal of a more efficient approach to FaaS implementation through low overhead methodologies

## Summary

In their paper titled "Cooling Down FaaS: Towards Getting Rid of Warm Starts," authors Dániel Géhberger and Dávid Kovács delve into the realm of serverless execution, particularly focusing on the Function as a Service (FaaS) model. Over recent years, FaaS has garnered significant attention for its ability to streamline function execution processes. The prevailing practice in both commercial and open source implementations involves maintaining running execution environments to minimize function execution latency. The study conducted by Géhberger and Kovács compares the startup latency across various virtualization technologies. Subsequently, they proceed to develop and evaluate an FaaS prototype system utilizing IncludeOS unikernels for function execution. Remarkably, their findings demonstrate that their system can initiate and execute functions with comparable latency levels to AWS Lambda, which operates with continuously running executor units. One of the key takeaways from their research is the potential for simplified FaaS platforms that eliminate resource wastage and reduce extensive monitoring requirements present in current solutions. By leveraging low overhead methodologies, Géhberger and Kovács propose a more efficient approach to FaaS implementation that could revolutionize the landscape of serverless computing. Their work opens up new possibilities for optimizing function execution processes while enhancing overall system performance in a cost-effective manner.