Abstract | ||
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Reducing the energy consumption of mobile systems in order to prolong their operating time has been an active research topic for quite some time. Such systems are typically battery powered and thus, their uptime depends on the energy consumption of the used hardware and software components. Novel strategies that allow software systems to dynamically adapt themselves at runtime can be effectively used to reduce energy consumption. The focus of this paper is based on a case study that uses an energy management component that can dynamically choose the "best" sorting algorithm during a multi-party mobile communication. The results indicate that Insertionsort is the most optimal sorting algorithm when in comes to saving energy. |
Year | Venue | Keywords |
---|---|---|
2009 | ICSOFT 2009: PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON SOFTWARE AND DATA TECHNOLOGIES, VOL 2 | Energy awareness, Software engineering, Adaptivity, Mobile information systems |
Field | DocType | Citations |
Energy management,Operating time,Computer science,Mobile information systems,Battery (electricity),Energy consumption,Sorting algorithm,Energy awareness,Mobile telephony,Distributed computing | Conference | 18 |
PageRank | References | Authors |
0.93 | 16 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Christian Bunse | 1 | 546 | 43.95 |
Hagen Höpfner | 2 | 408 | 67.18 |
Suman Roychoudhury | 3 | 169 | 16.58 |
Essam Mansour | 4 | 162 | 18.64 |