DocumentCode
1583571
Title
Self-aware heterogeneous MPSoC with dynamic task scheduling for battery lifetime extension
Author
Arnold, Oliver ; Fettweis, Gerhard
Author_Institution
Dept. of Mobile Commun. Syst., Tech. Univ. Dresden, Dresden, Germany
fYear
2011
Firstpage
1
Lastpage
7
Abstract
This paper introduces a new battery-aware dynamic task scheduling approach for heterogeneous MPSoCs. A collector, a dc-dc converter and a battery module are introduced in the system. Additionally, a configurable and flexible load can be specified for modeling further components. Battery-aware modes of operation are newly introduced to extend battery lifetime. Therefore, processing element allocation, task scheduling and data transfers are dynamically performed with respect to the current battery status. In comparison to battery independent dynamic power management we are able to show that battery lifetime is extended.
Keywords
DC-DC power convertors; processor scheduling; secondary cells; system-on-chip; battery independent dynamic power management; battery lifetime extension; battery module; battery-aware dynamic task scheduling approach; battery-aware modes; configurable load; dc-dc converter; flexible load; self-aware heterogeneous MPSoC; Batteries; Decoding; Dynamic scheduling; Load modeling; Power demand; Resource management; Sorting; Self-awareness; battery awareness; battery lifetime extension; dynamic scheduling; heterogeneous MPSoCs;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing in Heterogeneous, Autonomous 'N' Goal-Oriented Environments (CHANGE), 2011 1st International Workshop on
Conference_Location
Newport Beach, CA
Print_ISBN
978-1-4577-0199-3
Type
conf
DOI
10.1109/CHANGE.2011.6172450
Filename
6172450
Link To Document