Project title
SMML: Storage Data Flow Management based on Machine Learning
Funder
Funding Program
Huawei Technologies Inc.
Funding code
SMLL
Start date
November 1, 2021
Expected Completion
2023-04-30
Description
The general objective of the SMML project is to automate data flow management for caching and storage tiering in hybrid data storage solutions, while relying on newly-developed artificial intelligent algorithms, in order to achieve optimal performance to cost ratio under different capacity storage media. The proposed methodology involves combining mathematical modeling with streaming machine learning for the first time, for guiding the decisions of data storage systems.
The expected outcome of the project will be instrumental in meeting the increasing data storage and I/O demands of modern large-scale data analytics and high-performance computing workloads, as it could offer sustainable high performance with lower cost.
The expected outcome of the project will be instrumental in meeting the increasing data storage and I/O demands of modern large-scale data analytics and high-performance computing workloads, as it could offer sustainable high performance with lower cost.