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PISTIS: Composing AWS Spot Instances with Guarantees
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Computer Systems. (Communication Research)
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Computer Systems.ORCID iD: 0000-0002-0268-0295
2022 (English)Conference paper, Published paper (Refereed)
Abstract [en]

AWS offers transient instances as a way to sell unused capacity in their data centers. Although these transient instances come with a steep discount at their prices, up to 90% of discount compared to on-demand instances, they do not come with availability guarantees, thus, they are not reliable for regular usage on the Internet. This paper presents PISTIS, a framework that uses reliability engineering models that provides reliable computing resources over transient instances by proactively replacing components that are expected to fail. We evaluated our model and the results show that we can achieve the same reliability of regular on-demand instances but with a price reduction of up to 81% in the best cases compared to on-demand instances.

Place, publisher, year, edition, pages
IEEE, 2022. p. 5469-5474
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:uu:diva-469647DOI: 10.1109/ICC45855.2022.9838290ISI: 000864709905110OAI: oai:DiVA.org:uu-469647DiVA, id: diva2:1644093
Conference
IEEE International Conference on Communications (ICC),MAY 16-20, 2022, Seoul, SOUTH KOREA
Funder
Swedish Foundation for Strategic Research, GMT14-0032Available from: 2022-03-13 Created: 2022-03-13 Last updated: 2022-12-19Bibliographically approved

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Corneo, LorenzoZavodovski, Aleksandr

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