IEEE Transactions on Computers
Performance Engineering of Software Systems
Performance Engineering of Software Systems
Building Web Services with Java: Making Sense of Xml, Soap, Wsdl, and Uddi
Building Web Services with Java: Making Sense of Xml, Soap, Wsdl, and Uddi
Capacity Planning for Web Services: metrics, models, and methods
Capacity Planning for Web Services: metrics, models, and methods
Architecture-Based Performance Analysis Applied to a Telecommunication System
IEEE Transactions on Software Engineering
Exploring robust component-based software
Proceedings of the 2006 international workshop on Software quality
A model-driven approach to describe and predict the performance of composite services
WOSP '07 Proceedings of the 6th international workshop on Software and performance
Non-Functional Property Driven Service Governance: Performance Implications
Service-Oriented Computing - ICSOC 2007 Workshops
Predicting Performance Properties for Open Systems with KAMI
QoSA '09 Proceedings of the 5th International Conference on the Quality of Software Architectures: Architectures for Adaptive Software Systems
Approach for generating performance models from UML models of SOA systems
Proceedings of the 2010 Conference of the Center for Advanced Studies on Collaborative Research
Impact of SOAP implementations in the performance of a web service-based application
ISPA'06 Proceedings of the 2006 international conference on Frontiers of High Performance Computing and Networking
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This paper has two contributions: a) it proposes a web services-based infrastructure to support Clinical Decision Support Systems (CDSSs) for processing multi-domain medical data from the obstetrical, perinatal and neonatal care domains, and b) applies Software Performance Engineering (SPE) to the proposed infrastructure. This extends a XML-based framework for medical data interoperability and integration of CDSSs into the Neonatal Intensive Care Unit, developed previously by the authors. The framework integrates CDSSs, such as Artificial Neural Networks (ANNs), Case-Based Reasoning (CBR) tools, and alert detection systems. The goal is to reduce medical errors, to support the physician's decision-making process and to improve ultimately patient care. We applied SPE from the early design stages in order to ensure that the system will meet its performance requirements, and to identify possible solutions for relieving the performance limitations of this prototype system. The performance evaluation is based on a layered queuing network model of the proposed web services-based infrastructure.