Saturday, January 09, 2010

Storage Systems Course: My proposal

In my last post, I summarized some of the storage systems courses from international top universities with storage system labs.

In this post, I will distill my own ideas and my own views into a structure for a storage system course. Here, I assume here a 15-weeks course with a single 1 1/2 hour lecture per week (as we have in Germany):
  1. Introduction, Overview, Disk Drive Architecture
    Material: Ruemmler, Wilkes An introduction to disk drive modeling

  2. Disk Scheduling / SSD
    Material: Iyer, Druschel. Anticipatory scheduling: A disk scheduling framework to overcome deceptive idleness in synchronous I/O, Agrawal et al. Design Tradeoffs for SSD Performance

  3. RAID
    Material: Patterson et al. Introduction to Redundant Arrays of Inexpensive Disk (RAID), Corbett. Row-Diagonal Parity for Double Disk Failure Correction

  4. Local File Systems

  5. Local File System Case Studies: ext3, btrfs
    Material: Valerie Aurora. A short history of btrfs, Card et al. Design and Implementation of the Second Extended Filesystem

  6. Local File Structures (Sequential, Hashing, B-Tree)
    Material: Comer. The Ubiquitous B-Tree

  7. SAN / NAS / Object-based Storage
    Material: Sacks. Demystifying DAS, SAN, NAS, NAS Gateways, Fibre Channel, and iSCSI

  8. Examples: NFS, Ceph, GoogleFS/Hadoop DFS
    Material: Weil. Ceph, A scalable, high-performance distributed file system, Ghemawat et al. The Google File System

  9. Snapshots and Log-based Storage Designs
    Material: Brinkmann, Effert. Snapshots and Continuous Data Replication in Cluster Storage Environments, Hitz et al. File System Design for an NFS File Server Appliance, Rosenblum, Ousterhout. The Design and Implementation of a Log-Structured File System

  10. Fault Tolerance, Journaling, and Soft Updates
    Material: Prabhakaran et al. Analysis and Evolution of Journaling File Systems, Seltzer et al. Journaling Versus Soft Updates: Asynchronous Meta-data Protection in File Systems

  11. Advanced Hashing: Consistent Hashing, Share, and Crush
    Material: Karger et al. Consistent hashing and random trees: distributed caching protocols for relieving hot spots on the World Wide Web, Weil et al. CRUSH: controlled, scalable, decentralized placement of replicated data

  12. Caching, Replication
    Material: Nelson et al. Caching in the Sprite network file system, Kistler et al. Disconnected operation in the Coda File System

  13. Consistency, Availability, and Partition Tolerance
    Material: DeCandia et al. Dynamo: Amazon’s Highly Available Key-value Store, Helland, Life beyond Distributed Transaction: An Apostate's Opinion

  14. Data Deduplication
    Material: Muthitacharoen et al., A Low-bandwidth Network File System, Douglis, Iyengar. Application-specific Delta-encoding via Resemblance Detection

  15. Performance Analysis
    Material: Traeger, A nine year study of file system and storage benchmarking (at least parts of it)
As books I would recommend:
For me, a few key points are important:
  • To clearly separate between classes of file systems and a concrete example. The best example is the class of network file systems vs. NFS. At the end there should be no much question if something is a inherent property of a class of file systems or of the concrete implementation
  • To have enough time to handle the basic concepts independently from concrete usages. For example explaining B-Trees as an important file structures independent from the usage in e.g. BTRFS. 
  • The concepts are more important than the current technology or standards.