Serverless Computing for Scientific Applications

TL;DR

This paper reviews the current state of serverless computing in scientific applications, discussing its benefits, challenges, and proposing a tailored architecture to enhance scientific computing in cloud environments.

Contribution

It introduces a science-oriented serverless architecture based on existing designs and offers insights into future trends and directions in this domain.

Findings

Serverless computing offers significant advantages for scientific applications.

Current challenges include scalability and resource management.

Proposed architecture aims to address these issues and improve scientific workflows.

Abstract

Serverless computing has become an important model in cloud computing and influenced the design of many applications. Here, we provide our perspective on how the recent landscape of serverless computing for scientific applications looks like. We discuss the advantages and problems with serverless computing for scientific applications, and based on the analysis of existing solutions and approaches, we propose a science-oriented architecture for a serverless computing framework that is based on the existing designs. Finally, we provide an outlook of current trends and future directions.