| |
| |
| |
Tutorial I |
| |
Modeling Complex Storage Systems |
| |
Presenter:
Dr. Thirumale Niranjan, NetApp Advanced Technology Group, Bangalore, India
Dr. Sai Susarla , NetApp Advanced Technology Group, Bangalore, India
Dr. Chiranjib Bhattacharyya, Associate Professor, Indian Institute of Science, Bangalore, India
|
| |
|
| |
Abstract |
| |
Applications are becoming more and more data intensive, leading to petascale and exascale storage systems. Consolidation in this space is occurring rapidly in the form of Cloud Storage. As more applications share a common storage infrastructure that itself gets more complex, the need for automated management increases. Reasoning about such systems requires sophisticated models. In this session, we will explain the details of modern storage systems, and how to construct models for intelligent storage management. We will survey different modeling approaches such as white-box, black-box and grey-box modeling, relative fitness modeling, and hierarchical/compositional modeling that others have employed in the past, and discuss successes and failures. The mathematical basis for much of model-based autonomics is in the area of statistical machine learning. We will elaborate on the range of machine learning tools, the mathematics behind them, and how they can be used for modeling. We will conclude the session with a discussion on the many interesting open problems in the area. |
| |
|
| |
|
| |
Tutorials Chair |
| |
Rajeev Sivaram
Google, USA |
| |
rajeev.sivaram AT gmail DOT com |
| |
|
| |
|
| |
|
|
|
|
|
|
