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The Quality Objects (QuO)

Abstract. Computing systems are increasingly distributed, real-time, and embedded (DRE) and must operate under highly unpredictable and changeable conditions. To provide predictable mission-critical quality of service (QoS) end-to-end, QoS-enabled middleware services and mechanisms have begun to emerge. However, the current generation of commercial-off-the-shelf middleware lacks adequate support for applications with stringent QoS requirements in changing, dynamic environments. This paper provides two contributions to the study of adaptive middleware to control DRE applications. It first describes how priority-and reservation-based OS and network QoS management mechanisms can be coupled with standards-based, off-the-shelf distributed object computing (DOC) middleware to better support dynamic DRE applications with stringent end-to-end real-time requirements. It then presents the results of experimentation and validation activities we conducted to evaluate these combined OS, network, and middleware capabilities. Our work integrates currently missing low-level resource control capabilities for end-to-end flows with existing capabilities in adaptive DRE middleware and sets the stage for further advances in fine-grained precision management of aggregate flows using dynamic adaptation techniques.

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This paper describes the integration of QoS-enabled distributed object computing (DOC) middleware for developing next-generation distributed applications. QoS-enabled DOC middleware facilitates ease of development and deployment of applications that can leverage the underlying networking technology or end-system QoS architecture. This paper also describes the development of a demonstration application utilizing QoS-enabled middleware to control the dissemination of Unmanned Air Vehicle (UAV) data throughout a ship.