Quality of Service Management of Distributed Realtime Embedded Systems

With increasing advantages of cost, performance, and scale over single computers, the proliferation of distributed systems in general and distributed event-based systems in particular have increased dramatically in recent years. To support the requirements of a broad spectrum of application domains, publish/subscribe middleware for event-based distributed systems typically provides many policies that affect end-to-end system quality of service (QoS) properties. While tunable policies provide fine-grained control of system QoS, configuring and managing QoS has become more complex as QoS support for pub/sub middleware platforms has increased. This work focuses on the following four synergistic areas: (1) a model-driven technique for developing QoS configurations and applicable implementation artifacts; (2) composite QoS metrics to quantitatively evaluate multiple QoS concerns, (3) a technique for evaluating QoS mechanisms in specific operating environments and providing guidance for QoS configurations; and (4) a technique to support autonomic configuration and adaptation of QoS-enabled pub/sub middleware in flexible and dynamic environments.

Autorentext

Joe Hoffert completó su doctorado en Ciencias de la Computación en la Universidad de Vanderbilt en febrero de 2011. Su investigación se centra en la gestión de la calidad del servicio (QoS) para sistemas de pubs/submarinos integrados en tiempo real distribuidos en entornos dinámicos. Joe tiene más de 15 años de experiencia en el desarrollo de software industrial y más de 20 publicaciones técnicas arbitradas.