<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-30T01:11:00Z</responseDate><request verb="GetRecord" identifier="oai:datadoi.ee:33/425" metadataPrefix="oai_dc">https://datadoi.ee/oai/request</request><GetRecord><record><header><identifier>oai:datadoi.ee:33/425</identifier><datestamp>2022-03-25T11:50:24Z</datestamp><setSpec>com_33_397</setSpec><setSpec>com_33_3</setSpec><setSpec>col_33_398</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
<dc:title>HPC Cloud traces for better cloud service reliability</dc:title>
<dc:creator>Dehury, Chinmaya Kumar</dc:creator>
<dc:creator>Chhetri, Tek Raj</dc:creator>
<dc:creator>Lind, Artjom</dc:creator>
<dc:creator>Srirama, Satish Narayana</dc:creator>
<dc:creator>Fensel, Anna</dc:creator>
<dc:subject>Failure Prediction</dc:subject>
<dc:subject>Fault-tolerance</dc:subject>
<dc:subject>Cloud computing</dc:subject>
<dc:subject>Artificial Intelligence</dc:subject>
<dc:subject>Reliability</dc:subject>
<dc:description>This data is in support of the research on "A combined system metrics approach to cloud service reliability using artificial intelligence" (doi: 10.20944/preprints202111.0548.v1)</dc:description>
<dc:date>2021-12-07T14:22:23Z</dc:date>
<dc:date>2021-12-07T14:22:23Z</dc:date>
<dc:date>2021</dc:date>
<dc:type>info:eu-repo/semantics/dataset</dc:type>
<dc:identifier>https://datadoi.ee/handle/33/425</dc:identifier>
<dc:identifier>http://dx.doi.org/10.23673/re-300</dc:identifier>
<dc:language>en</dc:language>
<dc:relation>10.20944/preprints202111.0548.v1</dc:relation>
<dc:relation>https://doi.org/10.3390/bdcc6010026</dc:relation>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:format>CSV</dc:format>
<dc:format>ZIP</dc:format>
<dc:format>text/plain</dc:format>
<dc:format>application/zip</dc:format>
<dc:format>text/plain</dc:format>
<dc:format>application/zip</dc:format>
<dc:format>text/plain</dc:format>
<dc:publisher>Semantic Technology Institute (STI) Innsbruck, Department of Computer Science, University of Innsbruck, Austria; Institute of Computer Science, University of Tartu, Estonia; School of Computer and Information Sciences, University of Hyderabad, India</dc:publisher>
</oai_dc:dc></metadata></record></GetRecord></OAI-PMH>