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              <text>An approach for efficient capacity management in a cloud</text>
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              <text>Capacity planning; fail-over; N+1 model; switch-over; vitualization</text>
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              <text>Cloud computing is an emerging technology where computing resources such as software and hardware are accessed over the internet as a service to customers. In the past, due to less demand, cloud capacity management was not critical. However, with the increase in demand, capacity management has become critical. Cloud customers can frequently use web-based portals to provision and de-provision virtual machines on demand. Due to dynamic changes as per the demand, managing capacity becomes a challenging task. In this paper, we discuss the emergence of cloud computing, traditional versus cloud computing, and how capacity management can be efficiently handled in a cloud. A detail on high availability of virtual machines in a cloud using the N+1 model is discussed in this paper. With templates, many repetitive installation and configuration tasks can be avoided. We discuss the sizing of templates and the overheads of using virtual machines. We suggest ideal combinations of sizing templates to create virtual machines with optimum utilization of blades. Finally we discuss a few benefits of efficient capacity management in cloud computing.  2017 IEEE.</text>
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              <text>Roseline T.P.; Tauro C.J.M.; Miranda M.</text>
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              <text>2017 IEEE International Conference on Current Trends in Advanced Computing, ICCTAC 2017, Vol-2018-January, pp. 1-6.</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>2017-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1109/ICCTAC.2017.8249984" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICCTAC.2017.8249984&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048538442&amp;amp;doi=10.1109%2FICCTAC.2017.8249984&amp;amp;partnerID=40&amp;amp;md5=b1187e5ca6e29c41c2760f9d1a501092" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048538442&amp;amp;doi=10.1109%2fICCTAC.2017.8249984&amp;amp;partnerID=40&amp;amp;md5=b1187e5ca6e29c41c2760f9d1a501092&lt;/a&gt;</text>
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              <text>ISBN: 978-150904997-4</text>
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              <text>Online</text>
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              <text>Roseline T.P., Department of Computer Applications, Presidency College, Bangalore, India; Tauro C.J.M., Center for Research, Christ University, Bangalore, India; Miranda M., Department of Electronics and Communications, PES University, Bangalore, India</text>
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