Storage Systems
Organization, Performance, Coding, Reliability, and Their Data Processing

Provides the most complete and leading-edge concepts and understanding of computer storage systems

Alexander Thomasian (Author)

9780323907965, Elsevier Science

Paperback / softback, published 20 October 2021

746 pages, 70 illustrations (30 in full color)
23.5 x 19 x 4.5 cm, 2.02 kg

Storage Systems: Organization, Performance, Coding, Reliability and Their Data Processing was motivated by the 1988 Redundant Array of Inexpensive/Independent Disks proposal to replace large form factor mainframe disks with an array of commodity disks. Disk loads are balanced by striping data into strips—with one strip per disk— and storage reliability is enhanced via replication or erasure coding, which at best dedicates k strips per stripe to tolerate k disk failures. Flash memories have resulted in a paradigm shift with Solid State Drives (SSDs) replacing Hard Disk Drives (HDDs) for high performance applications. RAID and Flash have resulted in the emergence of new storage companies, namely EMC, NetApp, SanDisk, and Purestorage, and a multibillion-dollar storage market. Key new conferences and publications are reviewed in this book.

The goal of the book is to expose students, researchers, and IT professionals to the more important developments in storage systems, while covering the evolution of storage technologies, traditional and novel databases, and novel sources of data. We describe several prototypes: FAWN at CMU, RAMCloud at Stanford, and Lightstore at MIT; Oracle's Exadata, AWS' Aurora, Alibaba's PolarDB, Fungible Data Center; and author's paper designs for cloud storage, namely heterogeneous disk arrays and hierarchical RAID.

1. Introduction
2. Storage Technologies and Their Data
3. Disk Drive Data Placement and Scheduling
4. Mirrored & Hybrid Arrays
5. Redundant Arrays of Independent Disks - RAID
6. Coding for Multiple Disk Failures
7. Saving Power in Disks, Flash Memories, and Servers
8. Database Parallelism, Big Data and Analytics, Deep Learning
9. Structured, Unstructured, and Diverse Databases
10. Heterogeneous Disk Arrays - HDAs
11. Hierarchical RAID - HRAID
12. Conclusions
Appendix

Subject Areas: Biomedical engineering [MQW]