Migrating monolithic applications to function as a service

Author:

Würz Hendrik M.12ORCID,Krämer Michel12ORCID,Kaster Marvin12,Kuijper Arjan12ORCID

Affiliation:

1. Fraunhofer Institute for Computer Graphics Research IGD Darmstadt Germany

2. Department of Computer Science Technical University of Darmstadt Darmstadt Germany

Abstract

SummaryFunction as a service (FaaS) promises low operating costs, reduced complexity, and good application performance. However, it is still an open question how to migrate monolithic applications to FaaS. In this paper, we present a guideline for software designers to split monolithic applications into smaller functions that can be executed in a FaaS environment. This enables independent scaling of individual parts of the application. Our approach consists of three steps: We first identify the main tasks (and their subtasks) of the application to split. Then, we define the program flow to be able to tell which application tasks can be converted to functions and how they interact with each other. In the final step, we specify actual functions and possibly merge those that are too small and which would produce too much communication overhead or maintenance effort. Compared to existing work, our approach applies to applications of any size and results in functions that are small enough—but not too small—for efficient execution in a FaaS environment. We evaluate the usefulness of our approach by applying it to a real‐world application for the storage of geospatial data. We describe the experiences made and finish the paper with a discussion, conclusions, and ideas for future work.

Publisher

Wiley

Subject

Software

Reference25 articles.

1. A mixed-method empirical study of Function-as-a-Service software development in industrial practice

2. FoxGC IshakianV MuthusamyV SlominskiA.Status of serverless computing and function‐as‐a‐service (faas) in industry and research. arXiv preprint arXiv:1708.080282017.

3. Barcelona‐PonsD Sánchez‐ArtigasM ParísG SutraP García‐LópezP.On the FaaS track: building stateful distributed applications with serverless architectures. Paper presented at: Middleware'19. Association for Computing Machinery New York NY USA.2019:41‐54.

4. SoltaniB GhenaiA ZeghibN.A migration‐based approach to execute long‐duration multi‐cloud serverless functions. Proceedings of the 3rd International Conference on Advanced Aspects of Software Engineering ICAASE 2018 Constantine Algeria December 1‐2 2018. 2326 of CEUR Workshop Proceedings.2018:42‐50.

5. BermbachD KarakayaA BuchholzS.Using application knowledge to reduce cold starts in FaaS services. Paper presented at: SAC'20: the 35th ACM/SIGAPP Symposium on Applied Computing Online Event [Brno. Czech Republic] March 30–April 3 2020 ACM.2020:134‐143.

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