By Topic

Engineering dynamic real-time distributed systems: architecture, system description language, and middleware

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
B. Ravindran ; Bradley Dept. of Electr. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA

The paper presents an architectural framework and algorithms for engineering dynamic real-time distributed systems using commercial off-the-shelf technologies. In the proposed architecture, a real-time system application is developed in a general-purpose programming language. Further, the architectural-level description of the system such as composition and interconnections of application software and hardware, and the operational requirements of the system such as timeliness and survivability are specified in a system description language. The specification of the system is automatically translated into an intermediate representation (IR) that models the system in a platform-independent manner. The IR is augmented with dynamic measurements of the system by a language runtime system to produce a dynamic system model. The dynamic model is used by resource management middleware strategies to perform resource management that achieves timeliness and survivability requirements. We present two classes of algorithms: predictive and availability-based, for performing resource allocation. To validate the viability of the approach, we use a real-time benchmark application that functionally approximates dynamic real-time command and control systems. The benchmark results illustrate that the middleware is able to achieve the desired timeliness requirements during a number of load situations. Furthermore, availability-based allocation algorithms perform resource allocation less frequently, whereas predictive algorithms give a better steady state performance for the application

Published in:

IEEE Transactions on Software Engineering  (Volume:28 ,  Issue: 1 )