Title: A Data Driven Platform for Improving Performance Assessment of Software Defined Storage Solutions
Abstract: Performance is one of the most important dimensions to consider for software quality. It is normally used as the principal competitive advantage offered between similar solutions. Ensuring certain performance levels is not trivial for software companies, since it requires exhaustive test runs and massive data analysis. Normally, companies rely on commercial analytics packages to produce performance insights. However, these are for general purposes and require significant effort to be adapted to particular data requirements use cases. In this paper we introduce DDP, a highly scalable data driven performance platform to analyze and exploit performance data for software defined storage solutions. DDP employs big data and analytics technology to collect, store and process performance data in an efficient and integrated way. We have demonstrated the successful application of DDP for Spectrum Scale, a software defined storage solution, where we have been able to implement performance regression data analysis to validate the performance consistency of new produced builds.
Publication Year: 2019
Publication Date: 2019-10-16
Language: en
Type: book-chapter
Indexed In: ['crossref']
Access and Citation
Cited By Count: 3
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot