Paper Info
Title
Exploring the Energy Consumption of Data Sorting Algorithms in Embedded and Mobile Environments
Abstract
Most mobile and embedded devices are battery powered. Hence, their uptime depends on the energy consumption of the used components. Developers made severe effort to optimize hardware components in order to reduce their energy consumption. However, in this paper we show that one also has to consider energy awareness in terms of software. In this study we focus on sorting algorithms, which are not only used directly by the user of a device but also very often implicitly by other algorithms. Our experiments show,that different sorting algorithms consume different amounts of energy. In detail, the experiments show that there is no direct correlation between the time complexity of an algorithm and its energy consumption.
Year
DOI
Venue
2009
10.1109/MDM.2009.103
Mobile Data Management
Keywords
Field
DocType
hardware component,energy awareness,energy consumption,different amount,severe effort,used component,direct correlation,embedded device,mobile environments,time complexity,energy management,embedded system,mobile computing,routing,software performance,sorting,sorting algorithms,sorting algorithm,embedded systems,memory management,hardware,java,algorithm design and analysis,computer science
Mobile computing,Energy management,Computer science,Sorting,Software performance testing,Memory management,Time complexity,Energy consumption,Sorting algorithm,Distributed computing,Embedded system
Conference
Citations 
PageRank 
References 
21
1.14
23
Authors
4
Name
Order
Citations
PageRank
Christian Bunse154643.95
Hagen Hopfner2232.25
Essam Mansour316218.64
Suman Roychoudhury416916.58