research-article

Bringing scaling transparency to Proteomics applications with serverless computing

Authors:

Mariano Ezequiel Mirabelli,

Pedro García-López,

Gil VernikAuthors Info & Claims

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

Pages 55 - 60

https://doi.org/10.1145/3429880.3430101

Published: 04 January 2021 Publication History

Abstract

Scaling transparency means that applications can expand in scale without changes to the system structure or the application algorithms. Serverless Computing's inherent auto-scaling support and fast function launching is ideally suited to support scaling transparency in different domains.

In particular, Proteomic applications could considerably benefit from scaling transparency and serverless technologies due to their high concurrency requirements. Therefore, the auto-provisioning nature of serverless platforms makes this computing model an alternative to satisfy dynamically the resources required by protein folding simulation processes. However, the transition to these architectures must face challenges: they should show comparable performance and cost to code running in Virtual Machines (VMs).

In this article, we demonstrate that Proteomics applications implemented with the Replica Exchange algorithm can be moved to serverless settings guaranteeing scaling transparency. We also validate that we can reduce the total execution time by around forty percent with comparable cost to cluster technologies (Work Queue) over VMs.

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Cited By

Rodrigues PFreitas FSimão J(2022)QuickFaaS: Providing Portability and Interoperability between FaaS PlatformsFuture Internet10.3390/fi1412036014:12(360)Online publication date: 30-Nov-2022
https://doi.org/10.3390/fi14120360
Malawski MBalis B(2022)Serverless Computing for Scientific ApplicationsIEEE Internet Computing10.1109/MIC.2022.316881026:4(53-58)Online publication date: 1-Jul-2022
https://doi.org/10.1109/MIC.2022.3168810
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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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

Upcoming Conference

MIDDLEWARE '24

25th International Middleware Conference

December 2 - 6, 2024

Hong Kong , Hong Kong

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Cited By

Rodrigues PFreitas FSimão J(2022)QuickFaaS: Providing Portability and Interoperability between FaaS PlatformsFuture Internet10.3390/fi1412036014:12(360)Online publication date: 30-Nov-2022
https://doi.org/10.3390/fi14120360
Malawski MBalis B(2022)Serverless Computing for Scientific ApplicationsIEEE Internet Computing10.1109/MIC.2022.316881026:4(53-58)Online publication date: 1-Jul-2022
https://doi.org/10.1109/MIC.2022.3168810
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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