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Cloud drive: Meter down or meter up?

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CIOL Bureau
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STAMFORD: There is a slight revision of Gartner's original definition published in 2008. Gartner has removed "massively scalable" and replaced it with "scalable and elastic" as an indicator that the important characteristic of scale is the ability to scale up and down, not just to massive size.

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“When approaching cloud computing, providers of cloud services and potential consumers of cloud services must examine the attributes of cloud computing to determine whether their services will deliver the expected outcomes,” said Daryl Plummer, managing vice president and chief Gartner Fellow.

“If a service is not scalable and elastic, then it may not be shareable enough. If it is not metered by use, then it may not allow for flexible pricing. Support for more of the attributes opens the door to a great value proposition to the consumer, and greater flexibility and potential cost reduction for the provider.”

This comes out in a special report on Cloud computing where Gartner examines the realities and risks of Cloud.

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As cloud computing begins to move beyond the pure hype stage and into the beginning of mainstream adoption, Gartner, Inc. has identified the five attributes of cloud computing.

“We recognize that services may adhere to some attributes more effectively than others,” said David Mitchell Smith, vice president and Gartner Fellow. “The degree to which the service exhibits all these characteristics indicates how much it adheres to the cloud computing model. One must examine a combination of these attributes to evaluate cloud services. Focusing on one attribute in isolation is not recommended.”

The five attributes of cloud computing are, it should be service-based, scalable and elastic, uses Internet technologies, and should be shared and metered by use.

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As it shares in a press note, 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.

“The articulation of the service feature is based on service levels and IT outcomes (availability, response time, performance versus price, and clear and predefined operational processes), rather than technology and its capabilities. In other words, what the service needs to do is more important than how the technologies are used to implement the solution.”

As to elasticity Vs just scalability it adds, “The service can scale capacity up or down as the consumer demands at the speed of full. Elasticity is a trait of shared pools of resources. 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 in an automated fashion. This means that services scale on demand to add or remove resources as needed.”

It also focuses on the attribute of metering in a detailed way.

“Services are tracked with usage metrics to enable multiple payment models. The service provider has a usage accounting model for measuring the use of the services, which could then be used to create different pricing plans and models. These may include pay-as-you go plans, subscriptions, fixed plans and even free plans. The implied payment plans will be based on usage, not on the cost of the equipment. These plans are based on the amount of the service used by the consumers, which may be in terms of hours, data transfers or other use-based attributes delivered.”