Titlebook: Engineering Scalable, Elastic, and Cost-Efficient Cloud Computing Applications; The CloudScale Metho Steffen Becker,Gunnar Brataas,Sebastia

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慌張

Ingenuity

https://doi.org/10.1007/978-3-319-91418-3h users coming and going in an unpredictable manner. User counts have exceeded the limit of billions of users, and the Internet of Things will even increase those numbers significantly. Hence, building scalable systems which can cope with their dynamic environment has become a major success factor f

LAY

Ingrid Matth?us-Maier,J. D. von Pischke is accompanied by a running example termed CloudStore—a simple online bookshop to be operated in a cloud computing environment. In a fictional scenario, we exemplify how a software architect follows the CloudScale method to realize CloudStore. The architect finally realizes CloudStore such that all

molest

Erratum to: The Painters of Modena,applications utilize virtualized infrastructures, distributed platforms, and other software-as-a-service offerings. The surge of cloud computing applications responds to the ability of cloud computing environments to only pay for utilized resources while saving upfront costs (e.g., buying and settin

BILIO

BILIO

Erratum to: Gentile da Fabriano,ethod from Sect. 2.1 and detail it with respect to the developer roles executing it. We also introduce the two major method use cases. Method use case I is about analyzing a modeled system; method use case II deals with analyzing and migrating an implemented system. All discussions in this chapter a

神圣不可

Raimond Van Marle,Charlotte Van MarleOs)—using models of the system. The main benefit of such analysis is that software architects can assess their design and what-if scenarios without having to implement each option. For example, architects can easily elaborate alternatives and variants of HowTos. This chapter describes how software a

亂砍

The Immediate Followers of Simone Martini,mically allocatable resources became mainstream. Those systems have been designed and implemented for dedicated hardware, often large-scale servers, which had been sized to the maximum workload the systems were expected to face. This approach led to a high amount of wasted resources, which were oper

黑豹

https://doi.org/10.1007/978-94-015-2796-5of software development processes in this chapter. It answers questions managers have in mind when considering the CloudScale method: Is it worth implementing the CloudScale method in my organization? What does it take? What are the benefits? What will be the costs? How should I get started? This ch