Please use this identifier to cite or link to this item: https://idr.l2.nitk.ac.in/jspui/handle/123456789/7207
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dc.contributor.authorAnithakumari, S.
dc.contributor.authorChandrasekaran, K.
dc.date.accessioned2020-03-30T09:58:38Z-
dc.date.available2020-03-30T09:58:38Z-
dc.date.issued2019
dc.identifier.citationAdvances in Intelligent Systems and Computing, 2019, Vol.760, , pp.229-240en_US
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/7207-
dc.description.abstractInteroperable cloud computing is the one in which the services or resources of one cloud can be accessed by another cloud. The implementation of interoperable cloud architecture is a challenging one because various characteristics of the cloud computing environment need to be considered for its achievement. The aim of this work is to implement interoperable cloud computing with the awareness of service-level agreements and to provide adequate resources when shortage of resources occurs at one cloud while providing the agreed services to the user. To achieve this, we proposed a methodology of interoperability-based flexible resource management. Initially, the SLA templates of private and public cloud are mapped using the Soft TF-IDF metric with case-based reasoning (CBR) approach. Then, based on the mapped SLAs, different clusters of cloud providers are formed with the help of K-means clustering technique. And finally, if one of the cloud in a cluster faces the problem of resource shortage, the flexible resource allocation is provided through the adaptive dimensional search algorithm. � Springer Nature Singapore Pte Ltd. 2019.en_US
dc.titleAdaptive resource allocation in interoperable cloud servicesen_US
dc.typeBook chapteren_US
Appears in Collections:2. Conference Papers

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