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dc.contributor.authorZhou, Zhuangzhuang
dc.contributor.authorZhang, Yanqi
dc.contributor.authorDelimitrou, Christina
dc.date.accessioned2023-01-23T18:10:44Z
dc.date.available2023-01-23T18:10:44Z
dc.date.issued2022-12-19
dc.identifier.isbn978-1-4503-9915-9
dc.identifier.urihttps://hdl.handle.net/1721.1/147637
dc.publisherACM|Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 1en_US
dc.relation.isversionofhttps://doi.org/10.1145/3567955.3567960en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceACM|Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 1en_US
dc.titleAQUATOPE: QoS-and-Uncertainty-Aware Resource Management for Multi-stage Serverless Workflowsen_US
dc.typeArticleen_US
dc.identifier.citationZhou, Zhuangzhuang, Zhang, Yanqi and Delimitrou, Christina. 2022. "AQUATOPE: QoS-and-Uncertainty-Aware Resource Management for Multi-stage Serverless Workflows."
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.identifier.mitlicensePUBLISHER_POLICY
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2023-01-23T15:04:13Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2023-01-23T15:04:13Z
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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