DocumentCode :
1677217
Title :
Analysis and improvements in energy consumption models for RTS
Author :
Stangaciu, Cristina S. ; Horvath, Andreea M. ; Micea, Mihai V. ; Cretu, Vladimir I. ; Groza, Voicu
Author_Institution :
Comput. & Software Eng. Dept., Politeh. Univ. Timisoara, Timişoara, Romania
fYear :
2015
Firstpage :
277
Lastpage :
282
Abstract :
In this paper we perform an analysis of the main software methods for consumption reduction in real time systems (RTS). The study covers both scheduling methods and energy consumption models for RTS, where we focus on sensor nodes. Further on, we propose a new consumption model for a large number of node configurations, which suites most of the main scheduling algorithms. We also introduce a software environment which integrates the new model and provides a set of reports and graphical results to compare the power consumption efficiency of the scheduling algorithms.
Keywords :
microprocessor chips; power aware computing; real-time systems; RTS; consumption reduction; energy consumption models; node configurations; power consumption; real time systems; scheduling algorithms; scheduling methods; sensor nodes; software environment; software methods; Analytical models; Energy consumption; Real-time systems; Scheduling; Scheduling algorithms; Time-frequency analysis; Voltage control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Computational Intelligence and Informatics (SACI), 2015 IEEE 10th Jubilee International Symposium on
Conference_Location :
Timisoara
Type :
conf
DOI :
10.1109/SACI.2015.7208213
Filename :
7208213
Link To Document :
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