Increasing Dependability of Component-based Software Systems by Online Failure Prediction

Pitakrat, Teerat, van Hoorn, Andre and Grunske, Lars (2014) Increasing Dependability of Component-based Software Systems by Online Failure Prediction [Paper] In: Tenth European Dependable Computing Conference (EDCC 2014), May 2014, Newcastle upon Tyne, UK.

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Online failure prediction for large-scale software
systems is a challenging task. One reason is the complex structure
of many—partially inter-dependent—hardware and software
components. State-of-the-art approaches use separate prediction
models for parameters of interest or a monolithic prediction
model which includes different parameters of all components.
However, they have problems when dealing with evolving systems.
In this paper, we propose our preliminary research work on
online failure prediction targeting large-scale component-based
software systems. For the prediction, three complementary types
of models are used: (i) an architectural model captures relevant
properties of hardware and software components as well as
dependencies among them; (ii) for each component, a prediction
model captures the current state of a component and predicts
independent component failures in the future; (iii) a system-level
prediction model represents the current state of the system and—
using the component-level prediction models and information on
dependencies—allows to predict failures and analyze impacts of
architectural system changes for proactive failure management.

Document Type: Conference or Workshop Item (Paper)
Keywords: Keywords—dependability, online failure prediction, component-based software systems, monitoring, models at runtime
Research affiliation: Kiel University > Software Engineering
Projects: Kieker
Date Deposited: 03 Sep 2015 11:53
Last Modified: 03 Sep 2015 11:53

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