Dynamic QoS management and optimisation in service-based systems

Service-based systems that are dynamically composed at run time 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 Optimisation 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 analysed 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.

Angel grants employees their wish – for time off in return for high performance:new breed of incentives based on what staff really want from their employer

Purpose – Describes a new breed of HR strategies that encourage employee involvement and commitment as part of high-performance working (HPW). Design/methodology/approach – Focuses on managing employee attitudes and skills through careful attention to leadership, reward and job-design policies. Highlights the differences between people's formal employment contracts and their less formal “psychological contracts”, and emphasizes the importance of the latter. Provides a case study of UK recruitment consultancy Angel Services Group Ltd, which allows staff who meet their daily targets to go home an hour early. Findings – Urges companies to have processes in place to understand the needs of individual employees. This can be done through leadership policies that require all supervisors and managers not only to manage their staff but also to know them as people. Practical implications – Emphasizes that organizations need to see HPW initiatives as part of the normal way of managing people, and not as “flavour of the month”. Originality/value – Outlines a wide range of initiatives that could help organizations to gain their employees' commitment.

Mobile case-based decision support for intelligent patient knowledge management

Hospitals everywhere are integrating health data using electronic health record (EHR) systems, and disparate and multimedia patient data can be input by different caregivers at different locations as encapsulated patient profiles. Healthcare institutions are also using the flexibility and speed of wireless computing to improve quality and reduce costs. We are developing a mobile application that allows doctors to efficiently record and access complete and accurate real-time patient information. The system integrates medical imagery with textual patient profiles as well as expert interactions by healthcare personnel using knowledge management and case-based reasoning techniques. The application can assist other caregivers in searching large repositories of previous patient cases. Patients' symptoms can be input to a portable device and the application can quickly retrieve similar profiles which can be used to support effective diagnoses and prognoses by comparing symptoms, treatments, diagnosis, test results and other patient information. © 2007 Sage Publications.