Storage Systems
eBook - ePub

Storage Systems

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

  1. 746 pages
  2. English
  3. ePUB (mobile friendly)
  4. Only available on web
eBook - ePub

Storage Systems

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

Book details
Table of contents
Citations

About This Book

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.

  • Surveys storage technologies and lists sources of data: measurements, text, audio, images, and video
  • Familiarizes with paradigms to improve performance: caching, prefetching, log-structured file systems, and merge-trees (LSMs)
  • Describes RAID organizations and analyzes their performance and reliability
  • Conserves storage via data compression, deduplication, compaction, and secures data via encryption
  • Specifies implications of storage technologies on performance and power consumption
  • Exemplifies database parallelism for big data, analytics, deep learning via multicore CPUs, GPUs, FPGAs, and ASICs, e.g., Google's Tensor Processing Units

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Yes, you can access Storage Systems by Alexander Thomasian in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Biotechnology. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Morgan Kaufmann
Year
2021
ISBN
9780323908092
Topic
Biological Sciences
Subtopic
Biotechnology
Index
Biological Sciences

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Dedication
  6. About the author
  7. Preface
  8. Acknowledgments
  9. Abbreviations and acronyms
  10. Chapter 1: Introduction
  11. Chapter 2: Storage technologies and their data
  12. Chapter 3: Disk drive data placement and scheduling
  13. Chapter 4: Mirrored & hybrid arrays
  14. Chapter 5: Redundant Arrays of Independent Disks - RAID
  15. Chapter 6: Coding for multiple disk failures
  16. Chapter 7: Saving power in disks, flash memories, and servers
  17. Chapter 8: Database parallelism, big data and analytics, deep learning
  18. Chapter 9: Structured, unstructured, and diverse databases
  19. Chapter 10: Heterogeneous Disk Arrays - HDAs
  20. Chapter 11: Hierarchical RAID - HRAID
  21. Chapter 12: Conclusions
  22. Appendix
  23. Bibliography
  24. Index