Dynamic QoS Management and Optimization in Service-Based Systems

TY - JOUR

T1 - Dynamic QoS Management and Optimization in Service-Based Systems

AU - Calinescu, Radu

AU - Grunske, Lars

AU - Kwiatkowska, Marta

AU - Mirandola, Raffaela

AU - Tamburrelli, Giordano

N1 - Google Scholar citations on 17 October 2012: 31; also, 10 further citations referring the preprint version the paper that the journal published on-line

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=79957794556&partnerID=8YFLogxK

U2 - 10.1109/TSE.2010.92

DO - 10.1109/TSE.2010.92

M3 - Article

SN - 0098-5589

VL - 37

SP - 387

EP - 409

JO - IEEE Transactions on Software Engineering

JF - IEEE Transactions on Software Engineering

IS - 3

ER -