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Steffen (Hrsg.) Becker

Engineering Scalable, Elastic, and Cost-Efficient Cloud Computing Applications

The CloudScale Method

Buch

This book provides an overview of the problems involved in engineering scalable, elastic, and cost-efficient cloud computing services and describes the CloudScale method - a description of rescuing tools and the required steps to exploit these tools. It allows readers to analyze the scalability problem in detail and identify scalability anti-patterns and bottlenecks within an application. With the CloudScale method, software architects can analyze both existing and planned IT services.The method allows readers to answer questions like:? With an increasing number of users, can my service still deliver acceptable quality of service?? What if ea… Mehr

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Produktdetails


Weitere Autoren: Brataas, Gunnar (Hrsg.) / Lehrig, Sebastian (Hrsg.)
  • ISBN: 978-3-319-85363-5
  • EAN: 9783319853635
  • Produktnummer: 28481067
  • Verlag: Springer International Publishing
  • Sprache: Englisch
  • Erscheinungsjahr: 2018
  • Seitenangabe: 212 S.
  • Masse: H23.5 cm x B15.5 cm x D1.1 cm 330 g
  • Auflage: Softcover reprint of the original 1st ed. 2017
  • Abbildungen: Paperback
  • Gewicht: 330

Über den Autor


Steffen Becker is a full professor for software engineering at the University of Technology Chemnitz. His area of expertise is the quantitative analysis of software systems based on models. He participated in a number of projects in this area including the Q-ImPrESS, CloudScale, and NetIDE FP7 STREPs. In CloudScale, he managed the activities focusing on the evolution of legacy systems into scalable cloud applications. Gunnar Brataas is a Senior Engineer at SINTEF Digital in Trondheim, Norway. He was the Technical Manager of CloudScale and has been working with scalability for the past 20 years in EU-projects, as well as with Norwegian industry. Currently, he is the Scientific Project Leader of ScrumScale, funded by the Norwegian Research Council under grant #256669. The overall objective of ScrumScale is to reduce the total cost of handling scalability by extending agile development methods. Sebastian Lehrig is a research engineer at IBM with focus on big data and machine learning technologies. Before, he worked as a research assistant within the EU FP7 STREP project CloudScale and the German BMBF project Securing the Financial Cloud. Sebastian's research has focused on design and analysis methods for distributed and cloud computing applications. His research results help software architects in efficiently modeling and analyzing software applications for these domains, e.g., by providing modeling and analysis templates for reusable architectural knowledge.

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