Abstract
This IBM Redbooks publication describes how IBM Storage Scale enables organizations to manage “abstract data”—data that spans multiple storage tiers, geographic locations, and storage technologies—through a single, unified global namespace. It explains the underlying architecture and key capabilities, including storage pools, filesets, policy‑driven Information Lifecycle Management (ILM), Hierarchical Storage Management (HSM), Active File Management (AFM), and data acceleration technologies. Using practical examples and real‑world scenarios, the book shows how Storage Scale delivers scalable, high‑performance, and cost‑efficient data management for AI, analytics, HPC, hybrid cloud, and enterprise data environments.
Table of Contents
Introduction
1. Overview of IBM Storage Scale and Connecting to Abstract Data
2. Storage Pools
3. Filesets
4. Hierarchical Storage Management and Information Lifecycle Management
5. Active File Management
Appendix A. Use Case: Major University
Special Notices
The material included in this document is in DRAFT form and is provided 'as is' without warranty of any kind. IBM is not responsible for the accuracy or completeness of the material, and may update the document at any time. The final, published document may not include any, or all, of the material included herein. Client assumes all risks associated with Client's use of this document.