Developing and Evaluating a Flexible Framework for
Dynamic Distributed Real-Time Scheduling
Project Participants:
Project Description:
In theory, dynamic scheduling can alleviate many of the limitations
of static scheduling. In practice, however, implementations of
conventional dynamic scheduling techniques, such as earliest deadline
first (EDF) and minimum laxity first (MLF), do not preserve the
schedulability guarantees offered by static techniques.
To address the limitations of existing dynamic scheduling
techniques, we propose to enhance the existing static scheduling
framework found in The ACE ORB
(TAO) to
support dynamic and hybrid static/dynamic scheduling of
operations for ORB middleware and real-time applications.
The scope of this project consists of two main objectives. First, we
propose to complete current work on dynamic scheduling features in
TAO's existing event service and scheduling service, and to add
features for distributed dynamic scheduling to these services using
a flexible strategized scheduling framework. Second, we propose
to conduct a set of experiments to examine the effects of varying
platform, application, and middleware factors on scheduling behavior.
Related Publications:
Last modified 14:44:52 CDT 25 June 1998 by Chris Gill