Energy efficient data sorting using standard sorting algorithms

Christian Bunse, Hagen Höpfner, Suman Roychoudhury, Essam Mansour

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations

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. © Springer-Verlag Berlin Heidelberg 2011.
Original languageEnglish (US)
Title of host publicationCommunications in Computer and Information Science
PublisherSpringer Nature
Pages247-260
Number of pages14
ISBN (Print)9783642201158
DOIs
StatePublished - 2011
Externally publishedYes

ASJC Scopus subject areas

  • Computer Science(all)

Fingerprint Dive into the research topics of 'Energy efficient data sorting using standard sorting algorithms'. Together they form a unique fingerprint.

Cite this