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Evaluation of Network File System as a Shared Data Storage in Serverless Computing

Authors:

Kyungyong LeeAuthors Info & Claims

WoSC '20: Proceedings of the 2020 Sixth International Workshop on Serverless Computing

Pages 25 - 30

https://doi.org/10.1145/3429880.3430096

Published: 04 January 2021 Publication History

Abstract

Fully-managed cloud and Function-as-a-Service (FaaS) services allow the wide adoption of serverless computing for various cloud-native applications. Despite the many advantages that serverless computing provides, no direct connection support exists between function run-times, and it is a barrier for data-intensive applications. To overcome this limitation, the leading cloud computing vendor Amazon Web Services (AWS) has started to support mounting the network file system (NFS) across different function run-times. This paper quantitatively evaluates the performance of accessing NFS storage from multiple function run-times and compares the performance with other methods of sharing data among function run-times. Despite the great qualitative benefits of the approach, the limited I/O bandwidth of NFS storage can become a bottleneck, especially when the number of concurrent access from function run-times increases.

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Cited By

Song MHur YLee K(2023)When Serverless Computing Meets Different Degrees of Customization for DNN InferenceProceedings of the 9th International Workshop on Serverless Computing10.1145/3631295.3631400(42-47)Online publication date: 11-Dec-2023
https://dl.acm.org/doi/10.1145/3631295.3631400
Choi ULee K(2023) D ense o r S parse : Elastic SPMM Implementation for Optimal Big-Data Processing IEEE Transactions on Big Data10.1109/TBDATA.2022.31991979:2(637-652)Online publication date: 1-Apr-2023
https://doi.org/10.1109/TBDATA.2022.3199197
Kjorveziroski VFiliposka S(2022)Kubernetes distributions for the edge: serverless performance evaluationThe Journal of Supercomputing10.1007/s11227-022-04430-678:11(13728-13755)Online publication date: 1-Jul-2022
https://dl.acm.org/doi/10.1007/s11227-022-04430-6
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cover image ACM Conferences

WoSC '20: Proceedings of the 2020 Sixth International Workshop on Serverless Computing

December 2020

77 pages

ISBN:9781450382045

DOI:10.1145/3429880

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 04 January 2021

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Middleware '20

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Middleware '20: 21st International Middleware Conference

December 7 - 11, 2020

Delft, Netherlands

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Cited By

Song MHur YLee K(2023)When Serverless Computing Meets Different Degrees of Customization for DNN InferenceProceedings of the 9th International Workshop on Serverless Computing10.1145/3631295.3631400(42-47)Online publication date: 11-Dec-2023
https://dl.acm.org/doi/10.1145/3631295.3631400
Choi ULee K(2023) D ense o r S parse : Elastic SPMM Implementation for Optimal Big-Data Processing IEEE Transactions on Big Data10.1109/TBDATA.2022.31991979:2(637-652)Online publication date: 1-Apr-2023
https://doi.org/10.1109/TBDATA.2022.3199197
Kjorveziroski VFiliposka S(2022)Kubernetes distributions for the edge: serverless performance evaluationThe Journal of Supercomputing10.1007/s11227-022-04430-678:11(13728-13755)Online publication date: 1-Jul-2022
https://dl.acm.org/doi/10.1007/s11227-022-04430-6
Hassan HBarakat SSarhan Q(2021)Survey on serverless computingJournal of Cloud Computing: Advances, Systems and Applications10.1186/s13677-021-00253-710:1Online publication date: 12-Jul-2021
https://dl.acm.org/doi/10.1186/s13677-021-00253-7

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