Capacity management is a core activity when designing and operating distributed software systems. Particularly, enterprise application systems are exposed to highly varying workloads. Employing static capacity management, this leads to unnecessarily high total cost of ownership due to poor resource usage efficiency. This thesis introduces a model-driven online capacity management approach for distributed component-based software systems, called SLAstic. The core contributions of this approach are a) modeling languages to capture relevant architectural information about a controlled software system, b) an architecture-based online capacity management framework based on the common MAPE-K control loop architecture, c) model-driven techniques supporting the automation of the approach, d) architectural runtime reconfiguration operations for controlling a system's capacity, as well as e) an integration of the Palladio Component Model. A qualitative and quantitative evaluation of the approach is performed by case studies, lab experiments, and simulation.
Product Identifiers
Publisher
Books On Demand
ISBN-13
9783735751188
eBay Product ID (ePID)
208939645
Product Key Features
Author
ANDRÉ Van Hoorn
Publication Name
Model-Driven Online Capacity Management for Component-Based Software Systems
Format
Paperback
Language
English
Subject
Computer Science
Publication Year
2014
Type
Textbook
Number of Pages
360 Pages
Dimensions
Item Height
210mm
Item Width
148mm
Item Weight
472g
Additional Product Features
Title_Author
ANDRÉ Van Hoorn
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