Please use this identifier to cite or link to this item: https://idr.nitk.ac.in/jspui/handle/123456789/6824
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dc.contributor.authorMartin, J.P.
dc.contributor.authorKandasamy, A.
dc.contributor.authorChandrasekaran, K.
dc.date.accessioned2020-03-30T09:46:12Z-
dc.date.available2020-03-30T09:46:12Z-
dc.date.issued2018
dc.identifier.citationAdvances in Intelligent Systems and Computing, 2018, Vol.667, , pp.61-73en_US
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/6824-
dc.description.abstractCloud computing is one of the most sought-after technologies today. Beyond a shadow of doubt, the number of clients opting for Cloud is increasing. This steers the complexity of the management of the Cloud computing environment. In order to serve the demands of customers, Cloud providers are resorting to more resources. Relying on a single managing element to coordinate the entire pool of resources is no more an efficient solution. Therefore, we propose to use a hierarchical approach for autonomic management. The problem that we consider here is to determine the nodes at which we have to place the Autonomic Managers (AMs), in order to ease the management process and minimize the cost of communication between the AMs. We propose a graph-theory-based model using Connected Dominating Set (CDS) that allows to determine an effective placement of AMs in different Data Centers (DCs), and, their collaboration with the Global Manager (GM). The approach considers the construction of domination sets and then, distributing the control of the dominees among the dominators. � 2018, Springer Nature Singapore Pte Ltd.en_US
dc.titleToward efficient autonomic management of clouds: A CDS-based hierarchical approachen_US
dc.typeBook chapteren_US
Appears in Collections:2. Conference Papers

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