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AWS EC2 Spot Instances for Mission Critical Services

Danysz, Jerry, Del Rosal, Victor and González-Vélez, Horacio (2020) AWS EC2 Spot Instances for Mission Critical Services. In: ECMS 2020 Proceedings Edited by: Mike Steglich, Christian Muller, Gaby Neumann, Mathias Walther. European Council for Modeling and Simulation, pp. 368-375. ISBN 9783937436685

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Official URL: https://doi.org/10.7148/2020-0376

Abstract

For over a decade now, Amazon Web Services (AWS) has offered its spare capacity at a discounted price in the form of EC2 spot instances. This discount comes at the price of variable pricing and sudden instance termination. In this paper, we present a machine-learning solution to one of the challenges when using AWS Spot Instances, namely the termination of the instance on short notice. Our system, Spot Instance Management System (SimS), can effectively manage spot instances and keep up the availability at the desired level using 100-tree Random Forest Regression model. By using a risk assessment mechanism and proactive actions, SimS assures a three-nines SLA using AWS spot instances with lower running costs on workloads for a major European financial institution.

Item Type: Book Section
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science

Q Science > QA Mathematics > Computer software
T Technology > T Technology (General) > Information Technology > Computer software
Divisions: School of Computing > Staff Research and Publications
Related URLs:
Depositing User: CAOIMHE NI MHAICIN
Date Deposited: 25 May 2020 08:49
Last Modified: 25 May 2020 08:49
URI: http://norma.ncirl.ie/id/eprint/4214

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