Name
Abstract | ||
|---|---|---|
Protecting the environment by saving energy and thus reducing carbon dioxide emissions is one of todays hottest and most challenging topics. Although the perspective for reducing energy consumption, from ecological and business perspectives is clear, from a technological point of view, the realization especially for mobile systems still falls behind expectations. Novel strategies that allow (software) systems to dynamically adapt themselves at runtime can be effectively used to reduce energy consumption. This paper presents a case study that examines the impact of using an energy management component that dynamically selects and applies the "optimal" sorting algorithm, from an energy perspective, during multi-party mobile communication. Interestingly. the results indicate that algorithmic performance is not key and that dynamically switching algorithms at runtime does have a significant impact on energy consumption. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-20116-5_19 | Communications in Computer and Information Science |
Keywords | Field | DocType |
Energy awareness,Software engineering,Adaptivity,Mobile information systems | Energy management,Computer science,Efficient energy use,Sorting,Software,Energy consumption,Mobile telephony,Energy awareness,Sorting algorithm,Distributed computing | Conference |
Volume | ISSN | Citations |
50 | 1865-0929 | 7 |
PageRank | References | Authors |
0.66 | 22 | 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 |