Mostrar el registro sencillo del ítem

dc.contributor.authorMunoz, Daniel-Jesus
dc.contributor.authorPinto, Mónica
dc.contributor.authorFuentes, Lidia
dc.date.accessioned2019-10-09T12:16:25Z
dc.date.available2019-10-09T12:16:25Z
dc.date.created2019
dc.date.issued2019-10-09
dc.identifier.urihttps://hdl.handle.net/10630/18549
dc.description.abstractThe impact of energy consumption on the environment and the economy is raising awareness of “green” software engineering. HADAS is an eco-assistant that makes developers aware of the influence of their designs and implementations on the energy consumption and performance of the final product. In this paper, we extend HADAS to better support the requirements of users: researchers, automatically dumping the energy-consumption of different software solutions; and developers, who want to perform a sustainability analysis of different software solutions. This analysis has been extended by adding Pearson’s chi-squared differentials and Bootstrapping statistics, to automatically check the significance of correlations of the energy consumption, or the execution time, with any other variable (e.g., the number of users) that can influence the selection of a particular eco-efficient configuration. We have evaluated our approach by performing a sustainability analysis of the most common web servers (i.e. PHP servers) using the time and energy data measured with the Watts Up? Pro tool previously dumped in HADAS. We show how HADAS helps web server providers to make a trade-off between energy consumption and execution time, allowing them to sell different server configurations with different costs without modifying the hardware.en_US
dc.description.sponsorshipUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.en_US
dc.language.isospaen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectEnergía - Aspectos ambientalesen_US
dc.subject.otherHADASen_US
dc.subject.otherEnergy consumptionen_US
dc.subject.otherGreen Softwareen_US
dc.subject.otherSustainabilityen_US
dc.titleFinding correlations of features affecting energy consumption and performance of web servers using the HADAS eco-assistanten_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.centroE.T.S.I. Informáticaen_US
dc.relation.eventtitleXXIV Jornadas de Ingeniería del Software y Base de Datos (JISBD)en_US
dc.relation.eventplaceCáceres (España)en_US
dc.relation.eventdateSeptiembre 2019en_US


Ficheros en el ítem

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem