Title
An integrated optimization framework for reducing the energy consumption of embedded real-time applications
Abstract
This paper presents a framework for the purpose of energy optimization of embedded real-time systems. We implemented the presented framework as an optimization toolchain and an energy-aware real-time operating system. Our framework is synthetic, that is, multiple techniques optimize the target application together. The main idea of our approach is to utilize a trade-off between energy and performance of the processor configuration. The optimal processor configuration is selected at each appropriate point in the task. Additionally, an optimization technique about the memory allocation is employed in our framework. Our framework is also gradual, that is, the target application is optimized in a step-by-step manner. The characteristic and the behavior of target applications are analyzed and optimized for both intra-task and inter-task levels by our toolchain at the static time. Based on the results of static time optimization, the runtime energy optimization is performed by a real-time operating system according to the behavior of the application. A case study shows that energy minimization is achieved on average while keeping the real-time performance.
Year
DOI
Venue
2011
10.1109/ISLPED.2011.5993648
ISLPED
Keywords
Field
DocType
embedded real-time application,integrated optimization framework,optimization technique,energy consumption,optimization toolchain,energy-aware real-time operating system,energy optimization,embedded real-time system,real-time operating system,target application,runtime energy optimization,energy minimization,static time optimization,memory allocation,switches,resource management,embedded systems,real time operating system,real time,real time systems,development environment,optimization,resource manager
Resource management,Development environment,Computer science,Embedded applications,Real-time computing,Memory management,Energy consumption,Toolchain,Energy minimization,Embedded system
Conference
ISSN
ISBN
Citations 
Pending E-ISBN : 978-1-61284-659-0
978-1-61284-660-6
5
PageRank 
References 
Authors
0.48
14
12