03832nam a22005295i 4500 978-981-97-3534-1 DE-He213 20251030112917.0 cr nn 008mamaa 240828s2024 si | s |||| 0|eng d 9789819735341 978-981-97-3534-1 10.1007/978-981-97-3534-1 doi QA75.5-76.95 UNH bicssc UND bicssc COM030000 bisacsh UNH thema UND thema Shu, Jiwu. author. aut http://id.loc.gov/vocabulary/relators/aut 83060 Data Storage Architectures and Technologies [electronic resource] / by Jiwu Shu. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XVII, 428 p. 248 illus., 178 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Chapter 1: Introduction -- Chapter 2: Storage Devices -- Chapter 3: Storage Arrays -- Chapter 4: Storage Protocols -- Chapter 5: Key-Value Storage -- Chapter 6: File Systems -- Chapter 7: Network Storage Architecture -- Chapter 8: Distributed Storage Systems -- Chapter 9: Storage Reliability -- Chapter 10: Storage Security -- Chapter 11: Data Protection -- Chapter 12: Storage Operations and Maintenance -- Chapter 13: Storage Solutions -- Chapter 14: Storage Technology Trends and Development. Data is a core asset in the current development of information technology and needs to be stored efficiently and reliably to serve many important real-world applications such as the Internet, big data, artificial intelligence, and high-performance computing. Generations of researchers and practitioners have continued to innovate the design of storage systems to achieve the goals of high performance, ease of use, and high reliability. This textbook provides a thorough and comprehensive introduction to the field of data storage. With 14 chapters, the book not only covers the basics of storage devices, storage arrays, storage protocols, key-value stores, file systems, network storage architecture, distributed storage systems, storage reliability, storage security, and data protection, but also provides in-depth discussions on advanced topics such as storage maintenance, storage solutions, and storage technology trends and developments (e.g., in-storage computing, persistent memory system, blockchain storage, and in-network storage system). For each section, the authors have attempted to provide the latest current academic and industry research progress that will help readers deepen their understanding and application of basic data storage concepts. This textbook is ideal for storage courses targeting upper-level undergraduate or graduate students in computer science and related disciplines. It also serves as a valuable reference for technical professionals. Information storage and retrieval systems. 65568 Operating systems (Computers). 65514 Artificial intelligence Data processing. Information Storage and Retrieval. 65570 Operating Systems. 65516 Data Science. SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819735334 Printed edition: 9789819735358 https://doi.org/10.1007/978-981-97-3534-1 ZDB-2-SCS ZDB-2-SXCS 62809 62809