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QOS WITH RELIABILITY AND SCALABILITY IN ADAPTIVE SERVICE-BASED SYSTEMS (2011)
BibTeX
@MISC{Uthariaraj11qoswith,
author = {V. Rhymend Uthariaraj and P. Mercy Florence and A. Geetha},
title = {QOS WITH RELIABILITY AND SCALABILITY IN ADAPTIVE SERVICE-BASED SYSTEMS},
year = {2011}
}
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Abstract
Service-based systems that are dynamically composed at runtime to provide complex, adaptive functionality are currently one of the main development paradigms in software engineering. However, the Quality of Service (QoS) delivered by these systems remains an important concern, and needs to be managed in an equally adaptive and predictable way. To address this need, we introduce a novel, tool-supported framework for the development of adaptive service-based systems called QoSMOS (QoS Management and Optimization of Service-based systems). QoSMOS can be used to develop service-based systems that achieve their QoS requirements through dynamically adapting to changes in the system state, environment, and workload. QoSMOS service-based systems translate high-level QoS requirements specified by their administrators into probabilistic temporal logic formulae, which are then formally and automatically analyzed to identify and enforce optimal system configurations. The QoSMOS self-adaptation mechanism can handle reliability and performance-related QoS requirements, and can be integrated into newly developed solutions or legacy systems. The effectiveness and scalability of the approach are validated using simulations and a set of experiments based on an implementation of an adaptive service-based system for remote medical assistance.
Keyphrases
service-based system qos requirement software engineering tool-supported framework adaptive functionality important concern optimal system configuration system state legacy system qos management predictable way main development paradigm adaptive service-based system remote medical assistance performance-related qos requirement probabilistic temporal logic formula qosmos self-adaptation mechanism
