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				<title level="a" type="main">Towards a case-based reasoning approach for cloud provisioning</title>
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							<persName><forename type="first">Eric</forename><surname>Kübler</surname></persName>
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								<orgName type="department">Wirtschaftsinformatik</orgName>
								<orgName type="institution">Goethe University</orgName>
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									<addrLine>Robert-Mayer-Str.10</addrLine>
									<settlement>Frankfurt am Main</settlement>
									<country key="DE">Germany</country>
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							<persName><forename type="first">Mirjam</forename><surname>Minor</surname></persName>
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								<orgName type="department">Wirtschaftsinformatik</orgName>
								<orgName type="institution">Goethe University</orgName>
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									<addrLine>Robert-Mayer-Str.10</addrLine>
									<settlement>Frankfurt am Main</settlement>
									<country key="DE">Germany</country>
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						<title level="a" type="main">Towards a case-based reasoning approach for cloud provisioning</title>
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					<term>cloud management</term>
					<term>case-based reasoning</term>
					<term>intelligent cloud provisioning</term>
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<div xmlns="http://www.tei-c.org/ns/1.0"><p>Resource provisioning is an important issue of cloud computing. Most of the recent cloud solutions implement a simple way with static thresholds to provide resources. Some more sophisticated approaches consider the cloud provisioning problem a multi-dimensional optimization approach. However, the calculation effort for solving optimization problems is significant. An intelligent resource provisioning with a reduced calculation effort requires smart cloud management methods. In this position paper, we propose a case-based reasoning approach for cloud management. A case records a problem situation in cloud management and its solution. We introduce a case model and a retrieval method for previously solved problem cases with the aim to reuse their re-configuration actions for a recent problem situation. The case model uses the container notion correlated with QoS problems. We present a novel, composite similarity function that allows to compare a recent problem situation with the cases from the past. During retrieval, the similarity function creates a ranking of the cases according to their relevance to the current problem situation. Further, we describe the prototypical implementation of the core elements of our case based-reasoning concept. The plausiblility of the retrieval approach has been tested by means of sample cases with simulated data. The original version of this re-submission has been published at CLOSER 2016 [Kübler and<ref type="bibr" target="#b0">Minor, 2016]</ref>.</p></div>
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		<title level="a" type="main">Towards a case-based reasoning approach for cloud provisioning</title>
		<author>
			<persName><surname>Kübler</surname></persName>
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			<persName><forename type="first">E</forename><surname>Minor ; Kübler</surname></persName>
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			<persName><forename type="first">M</forename><surname>Minor</surname></persName>
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		<title level="m">Proceedings of the 6th International Conference on Cloud Computing and Services Science (Accepted for publication)</title>
				<meeting>the 6th International Conference on Cloud Computing and Services Science (Accepted for publication)<address><addrLine>Rome, Italy</addrLine></address></meeting>
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			<publisher>SciTePress</publisher>
			<date type="published" when="2016">2016. 2016</date>
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