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Full Paper AbstractsFlexible and Adaptive QoS Control for Distributed Real-time and Embedded MiddlewareRichard Schantz, Joseph Loyall, Craig Rodrigues, Doug Schmidt, Y. Krishnamurthy and Irfan Pyarali (BBN, Vanderbilt U. and OOM Works) Computing systems are increasingly distributed, real-time, and embedded, and must operate under highly unpredictable and change-able 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 ap-plications with stringent QoS requirements in changing, dynamic environments. This paper provides two contributions to the study of adaptive middleware to control distributed real-time and embedded (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 are conducting 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 man-agement of aggregate flows using dynamic ad-aptation techniques. |
Latest update: 13 June 2003 - Questions and Comments about the Site: fmc@inf.ufg.br |