IBM Storage Scale: Working With Abstract DataThis 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. |
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10+0 records AFM cache AFM to cloud archive bytes 524 MB cloud object storage CNSA configuration copied data migration deleted disk Disk quota enable eviction external pool file system file1 file2 file3 file4 file5 Fileset Name Fileset Fileset Target Gateway Filesets in file Gateway Node Queue GPFS hard links Hierarchical Storage Management IBM Redbooks IBM Storage Scale independent fileset Information Lifecycle Management internaldata Length Queue numExec lifecycle limit in_doubt grace Linked Lookup Refresh Interval metadata mmafmctl scale01fs mmlsfileset mode Name Fileset Target namespace nfsprod Node Queue Length object storage bucket object storage fileset Open Refresh Interval option policy engine policy rules POSIX prefetch primary Queue Length Queue quota limit in_doubt quotatestfs records in 500+0 Refresh Interval 120 replication Root inode root@scale01gw root@scale01gw:/ibm/scale01fs root@scale01gw:/ibm/scale01fs/archivefs scratchSpace secondary shown in Example snapshots specified storage pool Storage Scale cluster tape Target Gateway Node update Upload vdisk