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An Assessment Tool for Establishing Infrastructure as a Service Capability Maturity

  • Justin Nieuwerth
  • Marco Spruit
  • Danny Zijlstra
Chapter
Part of the Service Science: Research and Innovations in the Service Economy book series (SSRI)

Abstract

The concept of using IT services ‘out of the cloud’ is relatively new, let alone having an entire infrastructure in that same cloud. The technological advancements in virtualization technology have brought organizations to the point where they have the opportunity to outsource their entire IT infrastructure and use it as a service, out of ‘the cloud’. This phenomenon is known as a specific form of ‘cloud computing’ called ‘cloud architecture’ or Infrastructure-as-a-Service (IaaS). Adoption of IaaS has a massive impact throughout all layers in the entire organization.

This research is focused on examining where the adoption of Infrastructure-as-a-Service, as it is defined in this research, might impact and what factors pose an important role for successful IaaS adoption. It presents an assessment framework that measures the maturity of these factors, which are grouped together in seven different aspects (referred to as Adoption Capability Aspects in this research) and were identified by explorative expert interviews combined with a literature study. The framework consists of around 80 statements derived from several established frameworks and assessments. The purpose of the framework is to identify the maturity and state of readiness of an organization with regard to the adoption of IaaS, thereby aiding in the decision making process.

The concept of IaaS architectures is yet to gain more attention and maturity, but will also prove to be interesting and show its potential in the near future. The framework proposed in this research will contribute to the IaaS adoption maturity of organizations and attempts to increase awareness of IaaS as an emerging IT infrastructure architecture, as well as its most influencing aspects.

Keywords

Infrastructure-as-a-Service cloud computing cloud architecture service Science service Systems 

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Copyright information

© Springer US 2011

Authors and Affiliations

  • Justin Nieuwerth
    • 1
  • Marco Spruit
    • 1
  • Danny Zijlstra
    • 2
  1. 1.Department of Information and Computing ScienceUtrecht UniversityUtrechtThe Netherlands
  2. 2.AccentureAmsterdamThe Netherlands

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