Engineering and Continuously Operating Self-Adaptive Software Systems: Required Design Decisions

van Hoorn, André, Rohr, Matthias and Hasselbring, Wilhelm (2009) Engineering and Continuously Operating Self-Adaptive Software Systems: Required Design Decisions [Paper] In: Design for Future 2009: 1st Workshop of the GI Working Group "Long-Living Software Systems (L2S2)", October 15-16, 2009, Karlsruhe, Germany.

[img]
Preview
Text
vanHoornHasselbringRohr2009EngineeringAndContinuouslyOperatingSelfAdaptiveSoftwareSystemsRequiredDesignDecisions-cameraReady-stamped.pdf - Accepted Version

Download (1149Kb) | Preview

Abstract

Self-adaptive or autonomic systems are computing systems which are able to manage/adapt themselves at runtime according to certain high-level goals. It is appropriate to equip software systems with adaptation capabilities in order to optimize runtime properties, such as performance, availability, or operating costs. Architectural models are often used to guide system adaptation. When engineering such systems, a number of cross-cutting design decisions, e.g. instrumentation, targeting at a system's later operation/maintenance phase must and can be considered during early design stages.

In this paper, we discuss some of these required design decisions for adaptive software systems and how models can help in engineering and operating these systems. The discussion is based on our experiences, including those gathered from evaluating research results in industrial settings. To illustrate the discussion, we use our self-adaptation approach SLAstic to describe how we address the discussed issues. SLAstic aims to improve a software system's resource efficiency by performing architecture-based runtime reconfigurations that adapt the system capacity to varying workloads, for instance to decrease the operating costs.

Document Type: Conference or Workshop Item (Paper)
Research affiliation: Kiel University > Software Engineering
Date Deposited: 18 Feb 2012 06:05
Last Modified: 18 Dec 2012 09:51
URI: http://eprints.uni-kiel.de/id/eprint/14652

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...