Cart (Loading....) | Create Account
Close category search window
 

Optimal Unified Data Allocation and Task Scheduling for Real-Time Multi-Tasking Systems

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
$31 $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

3 Author(s)
Ghattas, R. ; Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC ; Parsons, G. ; Dean, A.G.

Many real-time (RT) embedded systems can benefit from a memory hierarchy to bridge the processor/memory speed gap. These RT embedded systems usually utilize a cacheless architecture to avoid the time variability which complicates the timing analysis essential for RT systems. In the absence of a cache the burden of allocating the data objects to the memory hierarchy is on the programmer/compiler. There has been much research into allocating data objects into the memory hierarchy for efficient execution. However, existing methods have limited scope and ignore some aspects of RT multitasking embedded systems. In this paper we propose a synergistic, optimal approach to allocating data objects and scheduling real-time tasks for embedded systems. We allocate data using integer linear programming (ILP) to minimize each task's worst-case execution time (WCET), then perform preemption threshold scheduling (PTS) on the tasks to reduce stack memory requirements while still meeting hard RT deadlines. The memory reduction of PTS allows these steps to be repeated. The data objects now require less memory, so more can fit into faster memory, further reducing WCET. The increased slack time can be used by PTS to reduce preemptions further, until a fixed point is reached. We evaluate the technique with several levels of data object granularity using both synthetic workloads and a real-time benchmark and find it to be highly effective

Published in:

Real Time and Embedded Technology and Applications Symposium, 2007. RTAS '07. 13th IEEE

Date of Conference:

3-6 April 2007

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.