Energy efficient data sorting using standard sorting algorithms

Handle URI:
http://hdl.handle.net/10754/564353
Title:
Energy efficient data sorting using standard sorting algorithms
Authors:
Bunse, Christian; Höpfner, Hagen; Roychoudhury, Suman; Mansour, Essam
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.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Publisher:
Springer Science + Business Media
Journal:
Communications in Computer and Information Science
Conference/Event name:
4th International Conference on Software and Data Technologies, ICSOFT 2009
Issue Date:
2011
DOI:
10.1007/978-3-642-20116-5_19
Type:
Conference Paper
ISSN:
18650929
ISBN:
9783642201158
Additional Links:
http://link.springer.com/chapter/10.1007/978-3-642-20116-5_19
Appears in Collections:
Conference Papers; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorBunse, Christianen
dc.contributor.authorHöpfner, Hagenen
dc.contributor.authorRoychoudhury, Sumanen
dc.contributor.authorMansour, Essamen
dc.date.accessioned2015-08-04T06:24:41Zen
dc.date.available2015-08-04T06:24:41Zen
dc.date.issued2011en
dc.identifier.isbn9783642201158en
dc.identifier.issn18650929en
dc.identifier.doi10.1007/978-3-642-20116-5_19en
dc.identifier.urihttp://hdl.handle.net/10754/564353en
dc.description.abstractProtecting 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.en
dc.publisherSpringer Science + Business Mediaen
dc.relation.urlhttp://link.springer.com/chapter/10.1007/978-3-642-20116-5_19en
dc.subjectAdaptivityen
dc.subjectEnergy awarenessen
dc.subjectMobile information systemsen
dc.subjectSoftware engineeringen
dc.titleEnergy efficient data sorting using standard sorting algorithmsen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journalCommunications in Computer and Information Scienceen
dc.conference.date26 July 2009 through 29 July 2009en
dc.conference.name4th International Conference on Software and Data Technologies, ICSOFT 2009en
dc.conference.locationSofiaen
dc.contributor.institutionUniversity of Applied Sciences Stralsund, Zur Schwedenschanze 15, 18439 Stralsund, Germanyen
dc.contributor.institutionBauhaus University of Weimar, Bauhausstr. 11, 99423 Weimar, Germanyen
dc.contributor.institutionTata Research Development and Design Center, 54-B, Hadapsar Industrial Estate, Pune, MH, 411013, Indiaen
kaust.authorMansour, Essamen
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