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The US National Institute of Standards and Technology (NIST) defines infrastructure as a service as: [3]. The capability provided to the consumer is provision processing, storage, networks, as well as other fundamental computing resources where the consumer is able to deploy & run arbitrary software, which can include operating systems and applications.
The information technology is typically delivered as a managed service with a clear IT services catalog and pricing associated with each of the catalog items. At its core, ITaaS is a competitive business model where businesses have many options for IT services and the internal IT organization has to compete against those other external options ...
The NIST's definition of cloud computing describes IaaS as "where the consumer is able to deploy and run arbitrary software, which can include operating systems and applications. The consumer does not manage or control the underlying cloud infrastructure but has control over operating systems, storage, and deployed applications; and possibly ...
Comparison of on-premise, IaaS, PaaS, and SaaS. Infrastructure as a service (IaaS) is the most basic form of cloud computing, where infrastructure resources—such as physical computers—are not owned by the user but instead leased from a cloud provider. As a result, infrastructure resources can be increased rapidly, instead of waiting weeks ...
"X as a service" (rendered as *aaS in acronyms) is a phrasal template for any business model in which a product use is offered as a subscription-based service rather than as an artifact owned and maintained by the customer. Originating from the software as a service concept that appeared in the 2010s with the advent of cloud computing, [1] [2] the template has expanded to numerous offerings in t
OpenStack is a free, open standard cloud computing platform. It is mostly deployed as infrastructure-as-a-service (IaaS) in both public and private clouds where virtual servers and other resources are made available to users. [2]
Marketing is a complex field of decision making which involves a large degree of both judgment and intuition on behalf of the marketer. [10] The enormous increase in complexity that the individual decision-maker faces renders the decision-making process almost an impossible task. The marketing decision engine can help distill the noise.
The following essential features were proposed by one marketing company: [1] Deployed on a multi-tenant, elastic cloud infrastructure; Subscription model pricing (operating expense, not capital expenditure) No software development (required connectors should already be available) Users do not perform deployment or manage the platform itself