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 language | English |
|---|---|
| Title of host publication | Proceedings - 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering, ICSE 2015 |
| Editors | Sebastian Elbaum, Gerardo Canfora |
| Place of Publication | Piscataway NJ USA |
| Publisher | IEEE, Institute of Electrical and Electronics Engineers |
| Pages | 721-724 |
| Number of pages | 4 |
| Volume | 2 |
| ISBN (Electronic) | 9781479919345 |
| DOIs | |
| Publication status | Published - 2015 |
| Externally published | Yes |
| Event | International Conference on Software Engineering 2015 - Florence, Italy Duration: 16 May 2015 → 24 May 2015 Conference number: 37th http://2015.icse-conferences.org/ https://ieeexplore.ieee.org/xpl/conhome/7174815/proceeding?isnumber=7194545 (Proceedings) |
Conference
| Conference | International Conference on Software Engineering 2015 |
|---|---|
| Abbreviated title | ICSE 2015 |
| Country/Territory | Italy |
| City | Florence |
| Period | 16/05/15 → 24/05/15 |
| Internet address |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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