By Topic

Low Power Consumption Data Structure Design for Embedded Applications in Real-Time 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
$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

5 Author(s)
Linhua Jiang ; Shanghai Key Lab. of Trustworthy Comput., East China Normal Univ., Shanghai, China ; Chao Peng ; Haibin Cai ; Yixiang Chen
more authors

In the widely used real-time and embedded systems, resources such as memory footprint, energy, are very limited. We try to find solutions -- in the context of data structure design- that are memory efficient and low power consumption in memory usage. We analyze various existing and creative new data structure implementations of a specific embedded application. Low memory cost, data accesses and power consumption are our main criteria during our data structure explorations. 2D and 3D Pareto curves are used to present the trade-off points of different data structure implementations. Thus, the relative optimal data structures can be discovered within the real-time constraints of the application.

Published in:

Object/Component/Service-Oriented Real-Time Distributed Computing Workshops (ISORCW), 2012 15th IEEE International Symposium on

Date of Conference:

11-11 April 2012