Cloud Capacity Management [electronic resource] : Capacity Management /
Sabharwal, Navin.author.
Wali, Prashant.author.
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.  .
""Contents at a Glance""; ""Contents""; ""About the Authors""; ""Acknowledgments""; ""Preface""; ""Introduction""; ""Chapter 1: Understanding Cloud Computing""; ""Cloud Computing""; ""Cloud Characteristics""; ""On-Demand Availability of Services""; ""Network Access""; ""Pooling of Resources""; ""Elasticity""; ""Pay Per Use""; ""Shared Management""; ""Service Models""; ""Cloud Infrastructure as a Service""; ""Cloud Platform as a Service""; ""Cloud Software as a Service""; ""Deployment Models""; ""Private Cloud""; ""Community Cloud""; ""Public Cloud""; ""Hybrid Cloud""
""Chapter 2: Cloud Stakeholders and Value Chain""""Cloud Views""; ""Service Delivery Chain in the Cloud""; ""Service-Based View""; ""Cloud Service Creator""; ""Cloud Service Aggregator""; ""Service Consumer""; ""Layer-Based View""; ""Chapter 3: Technology that Drives the Cloud""; ""Virtualization: The Engine of Cloud Computing""; ""Virtual Machine""; ""Virtual Servers""; ""Virtual Network""; ""Virtual Storage""; ""Virtual Firewall""; ""Load Balancer""; ""Virtual Applications and Middleware""; ""Cloud Architecture Layers""; ""Chapter 4: Introduction to Capacity Management""; ""ITIL Overview""
""Continual Service Improvement Process Throughout the Lifecycle""""Continual Service Improvement Feedback Mechanism""; ""Integration with the Rest of the Lifecycle Stages and Service Management Processes""; ""Capacity Management Overview""; ""Capacity Management Activities""; ""A Balancing Act""; ""Capacity Management: Scope and Coverage""; ""Capacity Management Procedures in the Traditional Model""; ""Determine Capacity Requirements""; ""Design for Capacity""; ""Capacity Management Procedures in the Cloud Model""; ""Produce Capacity Plan""
""Iterative Capacity Management for Live Services""""Implementation""; ""Monitoring the Plan""; ""Analysis""; ""Tuning""; ""Capacity Review""; ""Chapter 5: Cloud Capacity Management""; ""Capacity Management in Cloud Computing""; ""The Capacity-Utilization Curve""; ""Conventional vs. Cloud View of Capacity Management""; ""Business Capacity Management in Cloud""; ""Cloud Service Provider""; ""Cloud Service Consumer""; ""Service Capacity Management in the Cloud""; ""Cloud Service Provider""; ""Cloud Consumer""; ""Component Capacity Management in the Cloud""; ""Cloud Service Provider""
""Cloud Consumer""""Chapter 6: Capacity Planning""; ""Capacity Planning""; ""Capacity Management in the Cloud""; ""Performance Requirements""; ""Business Criticality""; ""Future Growth""; ""Chapter 7: Determining Capacity Requirements for New Services""; ""Capacity Calculation for New Services""; ""Determine Capacity Requirements""; ""Understand Capacity Requirements and Vital Business  Functions""; ""Understanding Disaster Recovery Requirements for Capacity""; ""Capacity Demand Coupling""; ""Demand Monitoring""; ""Providing Cost of Capacity Inputs""; ""Specifying Performance Targets""
""Cloud Service Provider""
Includes index.
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.  .
Computer communication systems.
Computer organization.
Computers.
Computer Communication Networks.
Computer Systems Organization and Communication Networks.
Information Systems and Communication Service.