StressCloud: a tool for analysing performance and energy consumption of cloud applications

Feifei Chen, John Grundy, Jean Guy Schneider, Yun Yang, Qiang He

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

9 Citations (Scopus)

Abstract

Finding the best deployment configuration that maximises energy efficiency while guaranteeing system performance of cloud applications is an extremely challenging task. It requires the evaluation of system performance and energy consumption under a wide variety of realistic workloads and deployment configurations. This paper demonstrates StressCloud, an automatic performance and energy consumption analysis tool for cloud applications in real-world cloud environments. StressCloud supports 1) the modelling of realistic cloud application workloads, 2) the automatic generation and running of load tests, and 3) the profiling of system performance and energy consumption. A demonstration video can be accessed at: https://www.youtube.com/watch?v=0l4-a-CNtVQ.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering, ICSE 2015
EditorsSebastian Elbaum, Gerardo Canfora
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages721-724
Number of pages4
Volume2
ISBN (Electronic)9781479919345
DOIs
Publication statusPublished - 2015
Externally publishedYes
EventInternational Conference on Software Engineering 2015 - Florence, Italy
Duration: 16 May 201524 May 2015
Conference number: 37th
http://2015.icse-conferences.org/

Conference

ConferenceInternational Conference on Software Engineering 2015
Abbreviated titleICSE 2015
CountryItaly
CityFlorence
Period16/05/1524/05/15
Internet address

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