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In recent years, a considerable amount of research has focused on enhancing the predictability of real-time middleware for DRE applications In this section, we summarize key efforts related to our work on TAO and ZEN QoS middleware R&D An increasing number of efforts are focusing on end-to-end QoS properties by integrating QoS management into standards-based middleware URI [62] is a Real-time CORBA system developed at the US Navy Research and Development Laboratories (NRaD) and the University of Rhode Island (URI) The system supports expression and enforcement of dynamic end-to-end timing constraints through timed distributed method invocations (TDMIs) [11] ROFES [45] is a Real-time CORBA implementation for embedded systems ROFES uses a microkernel-like architecture [45] ROFES has been adapted to work with several different hard real-time networks, including SCI [29], CAN, ATM, and an ethernet-based time-triggered protocol [30].

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The Quality Objects (QuO) distributed object middleware, developed at BBN Technologies [66], is based on CORBA and provides the following support for agile wide area based applications: the runtime performance tuning and con guration through the speci cation of QoS regions, and recon guration strategies that allow the QuO runtime to trigger recon guration adaptively as system conditions change The Time-triggered Message-triggered Objects (TMO) project [24] at the University of California, Irvine, supports the integrated design of distributed OO systems and realtime simulators of their operating environments The TMO model provides structured timing semantics for distributed real-time object-oriented applications by extending conventional invocation semantics for object methods, that is, CORBA operations, to include (1) invocation of time-triggered operations based on system times and (2) invocation and time-bounded execution of conventional message-triggered operations The Kokyu project, at Washington University, St Louis, provides a multiparadigm strategized scheduling framework.

Mayhew, D and Kachroo, P, 1998, Multi-rate sensor fusion for GPS using Kalman ltering, fuzzy methods and map-matching, in Proceedings of SPIE Conference on Sensing and Controls with Intelligent Transportation Systems, Boston, USA, November 1998, vol 3525, pp 440 449 McCall, RB, 1970, Fundamental Statistics for Psychology New York: Harcourt, Brace & World, Inc Mezentsev, O, Lu, Y, Lachapelle, G and Klukas, R, 2002, Vehicle navigation in urban canyons using a high sensitivity GPS receiver augmented with a low cost rate gyro, in Proceedings of ION GPS 2000 Conference, Portland, OR, USA, September 2002, pp 363 369 Mountain, D and Raper, J, 2001, Positioning techniques for location-based services (LBS): characteristics and limitations of proposed solutions, Aslib Proceedings: New Information Perspectives, 53(10), 404 412 National GIS/GPS Integration Team (2005), http://wwwtnstateedu/iager/gisgps/main htm.

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Kokyu has been implemented within TAO s Real-Time Event Service Kokyu enables the con guration and empirical evaluation of multiple scheduling paradigms, including static (eg, Rate Monotonic (RMS) [31]), dynamic (eg, earliest deadline rst (EDF) [31]) and hybrid (eg, maximum urgency rst (MUF) [57]) scheduling strategies The Component Integrated ACE ORB [60] project is an implementation of the CORBA Component Model (CCM) [35] speci cation CIAO provides a component-oriented paradigm to DRE system developers by abstracting DRE-critical systemic aspects, such as.

Figure 2-7: Using various list styles, you can customize each list in your document. The list shown uses the list-style lower-alpha.

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