StressCloud: A Tool for Analysing Performance and Energy Consumption of Cloud Applications

Author

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

Author_Institution

Sch. of Software & Electr. Eng., Swinburne Univ. of Technol., Melbourne, VIC, Australia

Volume

2

fYear

2015

Firstpage

721

Lastpage

724

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.

Keywords

cloud computing; energy conservation; energy consumption; power aware computing; software performance evaluation; software tools; StressCloud tool; cloud performance analysis; energy consumption analysis tool; energy efficiency; load tests; real-world cloud environments; system performance evaluation; Cloud computing; Computational modeling; Data models; Energy consumption; Load modeling; Servers; System performance;

fLanguage

English

Publisher

ieee

Conference_Titel

Software Engineering (ICSE), 2015 IEEE/ACM 37th IEEE International Conference on

Type

conf

DOI

10.1109/ICSE.2015.232

Filename

7203052