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001 sulb-eb0021161
003 BD-SySUS
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007 cr nn 008mamaa
008 130826s2013 xxu| s |||| 0|eng d
020 _a9781430249245
_9978-1-4302-4924-5
024 7 _a10.1007/978-1-4302-4924-5
_2doi
050 4 _aQA75.5-76.95
072 7 _aUY
_2bicssc
072 7 _aCOM014000
_2bisacsh
082 0 4 _a004
_223
100 1 _aSabharwal, Navin.
_eauthor.
245 1 0 _aCloud Capacity Management
_h[electronic resource] /
_cby Navin Sabharwal, Prashant Wali.
264 1 _aBerkeley, CA :
_bApress :
_bImprint: Apress,
_c2013.
300 _aXVIII, 184 p. 90 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
520 _aCloud Capacity Management helps readers in understanding what the cloud, IaaS, PaaS, SaaS are, how they relate to capacity planning and management  and which stakeholders are involved in delivering value in the cloud value chain. It explains the role of capacity management for a creator, aggregator, and consumer of cloud services and how to provision for it in a 'pay as you use model'. This involves a high level of abstraction and virtualization to facilitate rapid and on demand provisioning of services. The conventional IT service models take a traditional approach when planning for service capacity to provide optimum services levels which has huge cost implications for service providers. This book addresses the gap areas between traditional capacity management practices and cloud service models. It also showcases capacity management process design and implementation in a cloud computing domain using ITSM best practices. This book is a blend of ITSM best practices and infrastructure capacity planning and optimization implementation in various cloud scenarios. Cloud Capacity Management addresses the basics of cloud computing, its various models, and their impact on capacity planning. This book also highlights the infrastructure capacity management implementation process in a cloud environment showcasing inherent capabilities of tool sets available and the various techniques for capacity planning and performance management. Techniques like dynamic resource scheduling, scaling, load balancing, and clustering etc are explained for implementing capacity management.  .
650 0 _aComputer science.
650 0 _aComputers.
650 1 4 _aComputer Science.
650 2 4 _aComputer Science, general.
650 2 4 _aInformation Systems and Communication Service.
700 1 _aWali, Prashant.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781430249238
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4302-4924-5
912 _aZDB-2-CWD
942 _2Dewey Decimal Classification
_ceBooks
999 _c43253
_d43253