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Storage Systems: Organization, Performance, Coding, Reliability and Their Data Processing covers the coding, reliability and performance of popular RAID organizations: RAID1 mirrored disks, RAID5/6/7 1/2/3-disk failure tolerant - 1/2/3DFT arrays. Readers will learn about the storage of files, SQL and NoSQL databases on disk and SSD to achieve higher efficiency. As data compression, deduplication and encryption techniques for storage systems have led to new technologies, startups and techniques to save power in storage and server systems, the book discusses Fast Array of Wimpy Nodes (FAWN) at CMU, RAMCloud at Stanford, and key-value flash Lightstore at MIT, along with several storage proposals.
Finally, storage technologies from punched cards up to ash memories and beyond are discussed, along with the data placement and the scheduling of magnetic disks.
- Provides readers with an in-depth understanding of the architecture and operation of computer storage systems
- Includes descriptions of various RAID levels, their coding, organization, performance and reliability
- Covers techniques for efficient and secure data storage through data compression, deduplication and encryption
- Presents readers with an in-depth understanding of the storage of files and SQL and NoSQL databases
Scientists, researchers, and MSc. PhD. students from the fields of Computer Science and Engineering. The audience includes researchers, practitioners, and students in the fields of computer architecture and operating systems, as well as management information systems
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
- No. of pages:
- © Morgan Kaufmann 2021
- 1st October 2021
- Morgan Kaufmann
- Paperback ISBN:
Dr. Alexander Thomasian is founder and CEO of Thomasian & Associates consulting, in Pleasantville, NY, USA. He received his PhD in Computer Science from UCLA. Dr. Thomasian has held teaching and research positions at Case Western Reserve University, University of Southern California, Burroughs Corporation, IBM T. J. Watson Research Center, University of Connecticut, and New Jersey Institute of Technology. His assignment at IBM's Almaden Research Center led to his interest in storage systems. His later research in this area was funded by the U.S. National Science Foundation, Hitachi Global Storage Technologies, and AT&T. Dr. Thomasian spent a year at Shenzhen Institutes of Advanced Technology and was a Fulbright Fellow at the American University of Armenia. He is a Life Fellow of IEEE for fundamental contributions to the design and analysis of concurrency control methods and performance analysis of computer systems. He was an Editor of IEEE Transactions on Parallel and Distributed Systems and has been on the program committees of numerous international conferences.
CEO, Thomasian and Associates consulting, Pleasantville, NY, USA
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