This is great for data-center efficiency but offers none of the key cloud benefits, including scalability, metering and big data. This is the Apple iCloud model.And IaaS is just server virtualization. Instead, the focus must and should be on developing cloud apps that use cloud services.
In isolation from PaaS, SaaS is simply a rebranding of Web apps via an Application Service Provider. It also implies the models are of equal importance and scope, which is significantly false.
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This fails to differentiate and thereby define what the cloud actually is.The NIST definition is distorted because it implies that the three service models - software as a service, platform as a service, and infrastructure as a service - are layered, which is not necessarily true. In relation to everything as a service, a recent Network World article titled “(fill-in-the-blank)-as-a-service” demonstrates how vendors have absurdly twisted the “as-a-service” moniker into anything they already do. Although some may feel the characteristic of “rapid elasticity” broadly covers data volume, it is one-dimensional and omits the equally key aspects of variety and velocity.
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Big data is a critical cloud business driver that must be part of any serious definition. Here’s how:NIST’s definition of cloud computing is incomplete in two significant ways: first, by excluding the notion of big data and second, by limiting itself to three out of an almost infinite number of possible “things as a service.”In relation to big data, GCN’s recent cover story “Taming Big Data” and a recent InformationWeek article on “Hadoopla!” reported on the big data revolution and its explosive growth in both vendor implementations and customer adoption.
Over the next few weeks, that continued to grate on me until I realized the root cause of the problem: NIST’s definition of cloud computing is incomplete, distorted and short-sighted. NIST had failed an audience that had heard so much about cloud computing, only to remain lost in a flawed and tangled definition.
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