Classifying cloud layers: different types for different uses in Visual Studio .NET

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Classifying cloud layers: different types for different uses
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customer to upgrades of the software and help when they ran into difficulty. In the SaaS model, you don t purchase the software you rent it. Typically, the fee scales with the amount of use, so the value derived from the software is proportional to the amount spent on it. The customer buys access to the software for a specified term, which may be days, weeks, months, or years, and can elect to stop paying when they no longer need the SaaS offering. Cloud computing service providers have adopted this pay-as-you-go or on-demand model. This brings up an important point we need to consider next. SaaS is one flavor or layer in a stack of cloud types. A common mistake people make in these early days of the cloud is to make an apples-to-oranges comparison of one type of cloud to another. To avoid that, the next section will classify the different layers in the cloud stack and how they compare and contrast.
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Classifying cloud layers: different types for different uses
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First, let s learn a little more about how SaaS evolved and established itself, to set the context for discussing the other classes of clouds. In the earliest days of commercially practicable computing, computer resources were scarce, and the primary model for their use was much like a utility. But this was different from the sense of utility that cloud computing offers today; it was more akin to the community well in a village during a drought. Members of the community had access to and were allocated a fixed amount of water. In the case of cloud computing today, we ve returned to the notion of computing being available as a utility, but without the scarcity. The cloud movement was presaged by the shift in business model toward SaaS that took over the software industry at the turn of the century. Before it was called SaaS, it was an application rented from an Application Service Provider (ASP); here, the traditional enterprise license model was turned on its head, and you purchased in a pay-as-you-go manner, with costs scaling with usage instead of having a large upfront capital investment. You didn t need to provision hardware and software; instead, the services were turned on when needed. After this approach was renamed SaaS, it evolved into several new kinds of offerings that we ll explore next. We can classify cloud computing several ways. In this book, we present a taxonomy where cloud services are described generically as X as a Service, where X can take on values such as Hardware, Infrastructure, Platform, Framework, Application, and even Datacenter. Vendors aren t in agreement about what these designations mean, nor are they consistent in describing themselves as belonging to these categories. Despite this, we ll reproduce one interesting hierarchy that illustrates the use of these terms, with representative vendors (some at this point only historical) populating the diagram in figure 1.6. A more simplified representation of the cloud types shown in figure 1.7 highlights important aspects and key characteristics of different kinds of cloud offerings.
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What is cloud computing
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Amazon S3 Amazon EC2 Flexiscale Joyent Accelerators Microsoft Azure Rackspace Mosso Cloud ServePath GoGrid Skytap Sun Microsystems Cloud Eucalyptus Enomaly Enomalism Nimbus 10gen Babble Cassatt* (not covered) Hardware Private Cloud q Integration Public Cloudsq Storage Amazon SimpleDB Google BigTable Microsoft SQL Data Services Rackspace Mosso CloudFS Amazon SQS Appian Anywhere Appirio Cloud Connectors Boomi Bungee Labs Connect Castiron gnip Itensil Microsoft BizTalk Services OpSource Connect SnapLogic SaaS Solution Packs Aria eVapt Compute Grids Billing Infrastructure q Data Grids Security Enablers IP Applications OpSource Billing Vindicia Zuora enStratus OpenID/OAuth Ping Identity Symplified 3 Tera AppLogic Appistry CloudIQ Cloudkick Caspio Intuit Quickbase PerfectForms Rollbase WorkXpress Apprenda SaaSGrid Aptana CloudStudio Bungee Labs Connect Google App Engine Heroku LongJump Morph Labs Salesforce.com force.com Stax Author: Peter Laird Dev Platforms Concur Google Apps Biz User Platforms Fabric Mgmt Elastra Cloud Server Hyperic CloudStatus Kaavo IMOD Rightscale Scalr System Integrators (not covered )
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CloudEra CycleCloud Globus Hadoop Terracotta Gemstone Gemfire GigaSpaces Data Grid IBM eXtreme Scale Oracle Coherence CohesiveFT rPath Virtual Appliances Virtualization
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(not covered)
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