Automated analysis of performance and energy consumption for cloud applications

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

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

29 Citations (Scopus)


In cloud environments, IT solutions are delivered to users via shared infrastructure. One consequence of this model is that large cloud data centres consume large amounts of energy and produce significant carbon footprints. A key objective of cloud providers is thus to develop resource provisioning and management solutions at minimum energy consumption while still guaranteeing Service Level Agreements (SLAs). However, a thorough understanding of both system performance and energy consumption patterns in complex cloud systems is imperative to achieve a balance of energy efficiency and acceptable performance. In this paper, we present StressCloud, a performance and energy consumption analysis tool for cloud systems. StressCloud can automatically generate load tests and profile system performance and energy consumption data. Using StressCloud, we have conducted extensive experiments to profile and analyse system performance and energy consumption with different types and mixes of runtime tasks. We collected finegrained energy consumption and performance data with different resource allocation strategies, system configurations and workloads. The experimental results show the correlation coefficients of energy consumption, system resource allocation strategies and workload, as well as the performance of the cloud applications. Our results can be used to guide the design and deployment of cloud applications to balance energy and performance requirements. Copyright is held by the owner/author(s). Publication rights licensed to ACM.

Original languageEnglish
Title of host publicationProceedings of the 5th ACM/SPEC International Conference on Performance Engineering
EditorsWalter Binder, José Merseguer, Raghunath Nambiar
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Number of pages12
ISBN (Electronic)9781450327336
Publication statusPublished - 2014
Externally publishedYes
EventACM/SPEC International Conference on Performance Engineering 2014 - Dublin, Ireland
Duration: 22 Mar 201426 Mar 2014
Conference number: 5th


ConferenceACM/SPEC International Conference on Performance Engineering 2014
Abbreviated titleICPE 2014
Internet address


  • Automation
  • Cloud computing
  • Energy consumption
  • Green cloud
  • Performance analysis

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