This article explains how HDFS abstracts multiple servers into a single file system, splits files into replicated blocks, manages metadata via NameNode and DataNode, and provides linear capacity scaling and high reliability for big data workloads.
The article explains flash storage's low latency, high IOPS, and inline data protection features such as deduplication, compression, thin provisioning, while detailing scale‑out capabilities, symmetric A/A controller design, metadata management, global FTL functions, wear‑leveling, and power‑loss protection mechanisms.
The article analyzes the challenges of storing massive numbers of small files, reviews existing solutions such as TFS and Haystack, and proposes a Ceph‑based approach that merges small files into RADOS objects with metadata stored as extended attributes, detailing the read/write/delete workflow and hash‑based placement strategies.
