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Automating performance and energy consumption analysis for cloud applications

Chen, Feifei, Grundy, John, Schneider, Jean-Guy, Yang, Yun and He, Qiang 2015, Automating performance and energy consumption analysis for cloud applications, in IEEE SERVICES 2015 : Proceedings of the IEEE 2015 World Congress on Services, IEEE, Piscataway, N.J., pp. 63-70, doi: 10.1109/SERVICES.2015.18.

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Title Automating performance and energy consumption analysis for cloud applications
Author(s) Chen, Feifei
Grundy, JohnORCID iD for Grundy, John orcid.org/0000-0003-4928-7076
Schneider, Jean-Guy
Yang, Yun
He, Qiang
Conference name IEEE World Congress on Services ( 11th : 2015 : New York, N.Y.)
Conference location New York, N.Y.
Conference dates 27 Jun. - 2 Jul. 2015
Title of proceedings IEEE SERVICES 2015 : Proceedings of the IEEE 2015 World Congress on Services
Editor(s) [Unknown]
Publication date 2015
Conference series IEEE World Congress on Services
Start page 63
End page 70
Total pages 8
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) Cloud computing
Green computing
Performance analysis
Form chart
Load test
Summary In cloud environments, IT solutions are delivered to users via shared infrastructure, enabling cloud service providers to deploy applications as services according to user QoS (Quality of Service) requirements. One consequence of this cloud model is the huge amount of energy consumption and significant carbon footprints caused by large cloud infrastructures. A key and common objective of cloud service providers is thus to develop cloud application deployment and management solutions with minimum energy consumption while guaranteeing performance and other QoS specified in Service Level Agreements (SLAs). However, finding the best deployment configuration that maximises energy efficiency while guaranteeing system performance is an extremely challenging task, which requires the evaluation of system performance and energy consumption under various workloads and deployment configurations. In order to simplify this process we have developed Stress Cloud, an automatic performance and energy consumption analysis tool for cloud applications in real-world cloud environments. Stress Cloud supports the modelling of realistic cloud application workloads, the automatic generation of load tests, and the profiling of system performance and energy consumption. We demonstrate the utility of Stress Cloud by analysing the performance and energy consumption of a cloud application under a broad range of different deployment configurations.
ISBN 9781467372756
Language eng
DOI 10.1109/SERVICES.2015.18
Field of Research 080309 Software Engineering
Socio Economic Objective 890201 Application Software Packages (excl. Computer Games)
HERDC Research category E1.1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2015, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30084614

Document type: Conference Paper
Collection: School of Information Technology
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