This repository contains the codebase of our prototype of a holistic elasticity management system that exploits advanced optimization and control theory techniques to manage elasticity of complex data analytics flows on clouds. Flower analyzes statistics and data collected from different data-intensive systems to provide the user with a suite of rich functionalities, including:
- workload dependency analysis
- optimal resource share analysis
- dynamic resource provisioning
- cross-platform monitoring
The system is presented in our paper "Flower: A Data Analytics Flow Elasticity Manager" (VLDB 2017).
If you have a question or feedback, please send us an email:
Ali Khoshkbar, Australian National University, [email protected]
Nipun Balan, Newcastle University, [email protected]