A Multivocal Literature Review of Function-as-a-Service (FaaS) Infrastructures and Implications for Software Developers

被引：11

作者：

Grogan, Jake ^{[1
]}

Muheady, Connor ^{[1
]}

McDermott, James ^{[1
]}

Urbanavicius, Martynas ^{[1
]}

Yilmaz, Murat ^{[1
,2
]}

Abgaz, Yalemisew ^{[1
]}

McCarren, Andrew ^{[1
]}

MacMahon, Silvana Togneri ^{[1
,2
]}

Garousi, Vahid ^{[3
]}

Elger, Peter ^{[4
]}

Clarke, Paul ^{[1
,2
]}

机构：

[1] Dublin City Univ, Sch Comp, Dublin, Ireland

[2] Lero Sci Fdn Ireland Res Ctr Software, Limerick, Ireland

[3] Queens Univ, Sch Elect Elect Engn & Comp Sci, Belfast, Antrim, North Ireland

[4] FourTheorem Ltd, Cork, Ireland

来源：

SYSTEMS, SOFTWARE AND SERVICES PROCESS IMPROVEMENT (EUROSPI 2020) | 2020年 / 1251卷

基金：

爱尔兰科学基金会;

关键词：

Functions-as-a-Service; Infrastructures; Serverless; Cloud computing; Scalability; Constraints; AWS Lambda; Microsoft Azure; Google Cloud Functions;

D O I：

10.1007/978-3-030-56441-4_5

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we provide a multivocal literature review of Function as a Service (FaaS) infrastructures. FaaS is an important, emerging category of cloud computing, which requires that software applications are designed and deployed using distributed, highly-decoupled service-based architectures, one example of which is the microservices architecture paradigm. FaaS is associated with on-demand functionality and allows developers to build applications without the overhead associated with server management. As such, FaaS is a type of serverless provisioning model wherein a provider dynamically manages and allocates machine resources, with the developers deploying source code into a production environment. This research provides an analysis of scalability, cost, execution times, integration support, and the constraints associated with FaaS services provided by several vendors: AWS Lambda, Google Cloud Functions, and Azure Functions. We discuss the implications of the findings for software developers.

引用

页码：58 / 75

页数：18

共 32 条

[1] Ali H, 2016, PROCEEDINGS OF 2016 IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND BIG DATA ANALYSIS (ICCCBDA 2016), P250, DOI 10.1109/ICCCBDA.2016.7529566
[2] [Anonymous], AWS LAMBDA SERVERLES
[3] [Anonymous], AWS LAMBDA DEV GUIDE, P184
[4] [Anonymous], EVENTS TRIGGERS CLOU
[5] Clarke P., 2015, Commun. Comput. Inf. Sci, V543, P100, DOI 10.1007/978-3-319-24647-5_9
[6] Clarke P, 2016, 2016 IEEE/ACM INTERNATIONAL CONFERENCE ON SOFTWARE AND SYSTEM PROCESSES (ICSSP), P86, DOI [10.1109/ICSSP.2016.019, 10.1145/2904354.2904369]
[7] Exploring the Relationship between Software Process Adaptive Capability and Organisational Performance
Clarke, Paul
O'Connor, Rory V.
Leavy, Brian
Yilmaz, Murat
[J]. IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 2015, 41 (12) : 1169 - 1183
[8] The situational factors that affect the software development process: Towards a comprehensive reference framework
Clarke, Paul
O'Connor, Rory V.
[J]. INFORMATION AND SOFTWARE TECHNOLOGY, 2012, 54 (05) : 433 - 447
[9] Exploring Software Process Variation Arising from Differences in Situational Context
Clarke, Paul M.
O'Connor, Rory V.
Solan, David
Elger, Peter
Yilmaz, Murat
Ennis, Adam
Gerrity, Mark
McGrath, Sean
Treanor, Ryan
[J]. SYSTEMS, SOFTWARE AND SERVICES PROCESS IMPROVEMENT (EUROSPI 2017), 2017, 748 : 29 - 42
[10] Cloud Functions, GOOGL CLOUD

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