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RTAS 2005
11th IEEE Real-Time
and Embedded
Technology and Applications Symposium
March 7 - 10, 2005
San Francisco, California
Cathedral Hill Hotel
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Featuring:
expanded focus on embedded
systems and industrial applications, multiple tracks,
and new topics in open systems!
(See CFP)
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RTAS 2005 seeks
papers describing significant contributions both to state of the art
and state of the practice in the broad field of embedded and open
real-time computing, control, and communication. Contributions
can cover timing or QoS issues in computation and networking, systems
integration, scheduling, operating systems, middleware, software
engineering,
dependability, databases, programming languages, system development
tools, performance modeling, and performance control. Special focus is
on real-time and embedded applications ranging from industrial embedded
applications such as aeronautics and automotive systems to open
multimedia, telecommunication and mobile computing systems. Of
particular interest are papers detailing
experiments, implementations, and experiences in application domains
that present new model problems or identify significant temporal
or QoS constraints.
In order to
maintain a close connection to the practice of embedded and
real-time computing, RTAS 2005 is co-located with the Embedded Systems
Conference, the leading conference and trade show in the embedded
systems
industry.
The scope of RTAS
consists of the core area of real-time infrastructure and
development and three areas of special interest broadly outlined below.
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Core Area: Real-time
Infrastructure and Development
(Area PC Chair: Oleg Sokolsky, University of
Pennsylvania, USA)
This thrust continues from previous years with focus on embedded and
real-time systems that exhibit significant timing constraints. Papers
should describe significant contributions to the fundamental
infrastructure, system support, or theoretic foundations for real-time
computing. Topics include all of those associated with real-time
computing platforms and development tools and techniques, such as
real-time resource management, real-time operating systems, security,
real-time Java, middleware, real-time CORBA, secure real-time systems,
support for QoS, novel kernel-level mechanisms, power-aware real-time
systems, real-time software component models, QoS-aware design,
scheduling, and performance control.
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Area A: Embedded Applications
(Area PC Chair: Seongsoo Hong, Seoul National
University, Korea):
We invite papers on industrial and other real-time and embedded
applications. The focus of this track is on contributions associated
with systems that are actually deployed in commercial industry,
military, or other production environments, including automotive,
avionics, telecommunications, industrial control, aerospace, consumer
electronics, and sensors. Papers in this area include, but are not
limited to challenges, requirements, model problems, and constraints
associated with various application domains, use of real-time and
embedded technologies in meeting particular system requirements,
performance, scalability, reliability, security, or other assessments
of real-time and embedded technologies for particular application
domains, mining of architectural and design patterns from
applications, and technology transition lessons learned. Experience
papers are especially encouraged within this topic, which may be less
formal than traditional research papers, as well as proposals for
panels which may offer a broader view of industrial activity on a
particular subject.
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Area B: Model-driven Real-time and Embedded Systems
(Area PC Chair: Christopher Gill, Washington University,
USA):
This track solicits papers that increase our understanding of how
complex
large-scale real-time and embedded systems operating in heterogeneous
and time-varying environments can be modeled, configured, composed,
analyzed, checked, secured, certified, and controlled so that crucial
system properties can be assured using techniques from Model Driven
Architectures, Model Integrated Computing, Aspect-based Composition,
Hybrid Control and other model-based techniques.
Topics of interest for this track include, but are not limited to the
following: empirical profiling and modeling of system properties;
standardization efforts such as MDA and QoS-CCM;
frameworks and tools for composition of multiple QoS properties;
analysis, modeling and generation tools;
applications of control theory to adaptive QoS management;
techniques for representation and analysis of system properties;
open research issues for model-driven composition of embedded systems;
application scenarios and use cases for model-driven embedded systems;
industry experience with modeling, analysis and control;
architecture description languages and tools;
model-based checking and certification of embedded systems;
performance/efficiency of model-driven embedded systems;
experiences implementing embedded systems with stringent QoS
requirements; domain-specific requirements;
integrating components, tools, and techniques from multiple sources.
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Area C: QoS in
Open Systems
(Area PC Chair: Douglas Stuart, Boeing, USA):
The domain of real-time computing has broadened from primarily hard
real-time closed embedded systems such as avionics and automotive
applications to new open environments with other types of performance
constraints such as the Internet and mobile computing
systems. In such open environments independently developed system
components and applications share common resources (often across a
network) and need some form of performance assurances. Papers submitted
to
this track should address or extend the broad spectrum of performance
assurance problems, QoS constraints, and quality
metrics in open systems. Topics include but are not limited to
interoperability of open QoS-aware application components,
performance guarantees under uncertainty, combining/trading-off time or
quality with other dimensions such as dependability, mobility,
and security, QoS-aware communication, including Internet and Web-based
applications, QoS in wireless and mobile computing, ad hoc networks,
sensor networks, peer-to-peer computing, novel quality and performance
metrics, user studies, and user-perceived QoS.
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