Cloud capacity management:
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,...
Gespeichert in:
| Beteiligte Personen: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Berkeley, CA
Apress
2013
|
| Schriftenreihe: | The expert's voice in information technology
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781430249238/?ar |
| Zusammenfassung: | 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. |
| Beschreibung: | Includes index. - Online resource; title from PDF title page (SpringerLink, viewed September 3, 2013) |
| Umfang: | 1 Online-Ressource (xviii, 155 Seiten) illustrations |
| ISBN: | 9781430249245 1430249242 9781430249238 |
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| series2 | The expert's voice in information technology |
| spelling | Sabharwal, Navin VerfasserIn aut Cloud capacity management Navin Sabharwal, Prashant Wali Berkeley, CA Apress 2013 1 Online-Ressource (xviii, 155 Seiten) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The expert's voice in information technology Includes index. - Online resource; title from PDF title page (SpringerLink, viewed September 3, 2013) 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. English. Cloud computing Management Infonuagique ; Gestion COMPUTERS ; Computer Literacy COMPUTERS ; Computer Science COMPUTERS ; Data Processing COMPUTERS ; Hardware ; General COMPUTERS ; Information Technology COMPUTERS ; Machine Theory COMPUTERS ; Reference Computer science Computers Wali, Prashant VerfasserIn aut 9781430249238 Erscheint auch als Druck-Ausgabe 9781430249238 |
| spellingShingle | Sabharwal, Navin Wali, Prashant Cloud capacity management Cloud computing Management Infonuagique ; Gestion COMPUTERS ; Computer Literacy COMPUTERS ; Computer Science COMPUTERS ; Data Processing COMPUTERS ; Hardware ; General COMPUTERS ; Information Technology COMPUTERS ; Machine Theory COMPUTERS ; Reference Computer science Computers |
| title | Cloud capacity management |
| title_auth | Cloud capacity management |
| title_exact_search | Cloud capacity management |
| title_full | Cloud capacity management Navin Sabharwal, Prashant Wali |
| title_fullStr | Cloud capacity management Navin Sabharwal, Prashant Wali |
| title_full_unstemmed | Cloud capacity management Navin Sabharwal, Prashant Wali |
| title_short | Cloud capacity management |
| title_sort | cloud capacity management |
| topic | Cloud computing Management Infonuagique ; Gestion COMPUTERS ; Computer Literacy COMPUTERS ; Computer Science COMPUTERS ; Data Processing COMPUTERS ; Hardware ; General COMPUTERS ; Information Technology COMPUTERS ; Machine Theory COMPUTERS ; Reference Computer science Computers |
| topic_facet | Cloud computing Management Infonuagique ; Gestion COMPUTERS ; Computer Literacy COMPUTERS ; Computer Science COMPUTERS ; Data Processing COMPUTERS ; Hardware ; General COMPUTERS ; Information Technology COMPUTERS ; Machine Theory COMPUTERS ; Reference Computer science Computers |
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