rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Cloud Capacity Management
  name:
    name part: Sabharwal, Navin.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Wali, Prashant.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVIII, 184 p. 90 illus. online resource.
  abstract: Cloud 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. .
  note: by Navin Sabharwal, Prashant Wali.
  subject:
    topic: Computer science
  subject:
    topic: Computers
  subject:
    topic: Computer Science
  subject:
    topic: Computer Science, general
  subject:
    topic: Information Systems and Communication Service
  classification: QA75.5-76.95
  classification: 004
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781430249245
  identifier: http://dx.doi.org/10.1007/978-1-4302-4924-5
  record info:
    record creation date: 130826
    record change date: 20151204180126.0
    record identifier: 978-1-4302-4924-5