By Topic

Adapting Futures: Scalability for Real-World Computing

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

4 Author(s)
Helander, J. ; Microsoft Res. Redmond, Santa Cruz ; Serg, R. ; Veanes, M. ; Roy, P.

Creating robust real-time embedded software is critical in combining the physical world with computing, such as in consumer electronics or robotics. One challenge is the complexity of dealing with time together with implementation details that often end up implicitly determining the temporal behavior of the program. In this paper we suggest deconstructing a program into two separate aspects, the functional implementation and a temporal pattern, each expressed separately in a different language. This separation enables independent specification, analysis and prediction of the temporal behavior without regard to the implementation. Meanwhile the implementation is optimized for platforms with different capabilities through a scalable programming model that automatically adapts the execution to the level of concurrency a platform can support. Finally the aspects are put together to create a working system. This paper presents the use of futures and partitures to achieve predictability and performance in embedded systems. A new real-time scheduler for partiture based futures execution is introduced, along with multiple implementations, including one for an 8-bit microcontroller. The paper explains how to create, model, and execute futures and partitures.

Published in:

Real-Time Systems Symposium, 2007. RTSS 2007. 28th IEEE International

Date of Conference:

3-6 Dec. 2007