Article in Proceedings INPROC-2014-62

BibliographyBreitenbücher, Uwe; Binz, Tobias; Leymann, Frank: A Method to Automate Cloud Application Management Patterns.
In: Proceedings of the Eighth International Conference on Advanced Engineering Computing and Applications in Sciences (ADVCOMP 2014).
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology.
pp. 140-145, english.
Xpert Publishing Services, August 24, 2014.
ISBN: 978-1-61208-354-4.
Article in Proceedings (Conference Paper).
CR-SchemaD.2.7 (Software Engineering Distribution, Maintenance, and Enhancement)
D.2.9 (Software Engineering Management)
K.6 (Management of Computing and Information Systems)
K.6.3 (Software Management)
KeywordsApplication Management; Cloud Computing; Management Patterns; Management Automation
Abstract

Management patterns are a well-established concept to document reusable solutions for recurring application management issues in a certain context. Their generic nature provides a powerful means to describe application management knowledge in an abstract fashion that can be refined for individual use cases manually. However, manual refinement of abstract management patterns for concrete applications prevents applying the concept of patterns efficiently to the domain of Cloud Computing, which requires a fast and immediate execution of arising management tasks. Thus, the application of management patterns must be automated to fulfill these requirements. In this paper, we present a method that guides the automation of Cloud Application Management Patterns using the Management Planlet Framework, which enables applying them fully automatically to individual running applications. We explain how existing management patterns can be implemented as Automated Management Patterns and show how these implementations can be tested afterwards to ensure their correctness. To validate the approach, we conduct a detailed case study on a real migration scenario.

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Department(s)University of Stuttgart, Institute of Architecture of Application Systems
Project(s)CloudCycle
Entry dateSeptember 1, 2014
   Publ. Institute   Publ. Computer Science