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 Service-Based: Consumer concerns are abstracted from provider concerns through
    service interfaces that are well-defined. The interfaces hide the implementation
    details and enable a completely automated response by the provider of the service to
    the consumer of the service. Being serviced based means the consumer has no
    management or control of the resources (hardware, software, human) used to deliver
    the service.

 Scalable and Elastic: The service can scale capacity up or down as the consumer
    demands in an automated manner. Scalability is a feature of the underlying
    infrastructure and software platforms. Elasticity is associated with not only scale but
    also an economic model that enables scaling in both directions. This means that
    services scale on demand to add or remove resources as needed.

 Shared: Services share a pool of resources to build economies of scale. IT resources
    are used with maximum efficiency and consumers have no ownership of the
    underlying infrastructure, software or platforms. This allows unused resources to be
    allocated to meet the needs of multiple consumers, all working at the same time.

 Measured/Metered: Service usage is tracked using metrics that allow consumption-
    based payment models. This means that payment will be based on service usage, not
    on the cost of the assets that are used to deliver the service. Typically, metrics may
    be in terms of users, hours, data transfers or other use-based attributes.

 Network Access: The service is delivered using Internet identifiers, formats and
    protocols, such as URLs, HTTP, IP and representational state transfer Web-oriented
    architecture. This attribute is essential to the Public Cloud deployment model by
    avoiding the need for proprietary networks.

 these five definitional attributes are foundational to Cloud Computing in that they distinguish
Cloud from other IT service models. This has a profound consequence for the IT marketplace and
causes a significant potential impact on every aspect of IT management and how users access
applications, information and business services.

THE CLOUD COMPUTING MARKET

Since 2012, Cloud Computing has been an evolving, fast-paced and volatile market characterised by
lots of hype and “Cloud Washing”. The Cloud has encouraged innovation and diversity of services –
with significant disruption to the business models of incumbent hardware and software vendors and
traditional IT service providers (eg. System Integrators). The number of Cloud Service Providers
has grown dramatically as the market has expanded and today they provide many types of services
(in terms of reach and functionality) but with varying service levels and quality.

In terms of workload growth, Cisco Research indicates that:

 Software as a Service (SaaS) will lead cloud market adoption workloads in 2015
 Platform as a Service (PaaS) will remain the smallest portion

     of the overall Cloud services market

 Infrastructure as a Service (IaaS) will grow in real terms at a  Cloud Computing Workload Adoption
    CAGR of 13% although declining in relative terms through
    2018 due to the acceleration of SaaS adoption

 The Cloud Computing market is overall is growing at a 5-year
    CAGR (Compound Annual Growth Rate) in excess of 20% per
    annum

Author: Mike Spink   Cloud Computing – The Customer Context                       Page 2 of 7
Version 2.0 (final)  A White Paper for Cisco by Innovise ESM                      Spring 2015
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