The book explores core concepts, technologies, and challenges of distributed data services. It aims to provide researchers, engineers, and students with a deep understanding of theoretical foundations and practical applications in distributed data systems. The book covers four main aspects: transaction models, processing languages, consistency mechanisms, and system architectures, exploring current research and practical applications. A key feature is its inclusion of hands-on exercises and practical training, notably offering step-by-step guidance on building a strong consistency protocol and implementing its operational framework. Readers will gain comprehensive understanding of core concepts, from storage architectures to consistency synchronization protocols. They'll master practical skills for designing and implementing efficient distributed systems, while gaining insight into industry trends and future directions. The book fills a gap in current literature by offering comprehensive coverage from theory to practice, making it significant for both research and industry in the era of big data and cloud computing.
"Chapter 1 Fundamentals of Distributed Systems".- "Chapter 2 Distributed
Data Processing Language".- "Chapter 3 Distributed Query Processing".-
"Chapter 4 Transaction Processing in a Distributed System".- "Chapter 5
Consistency of Distributed Data Services".- "Chapter 6 Case Study of
Distributed Systems - GFS".- "Chapter 7 Go Language Fundamentals for
Designing Distributed Systems".- "Chapter 8 Building a Strong Consistency
Algorithm Library".- "Chapter 9 Building a Strong Consistent Distributed
Key-Value Storage System".- "Chapter 10 Optimized Design and Implementation
of the Strong Consistency Algorithm Raft: Multi-Raft".
Zichen Xu Professor and doctoral supervisor. Graduated with a Ph.D. from Ohio State University, USA, in June 2016. Currently serving as the Associate Dean of the School of Mathematics and Computer Science at Nanchang University. A high-level talent introduction, academic discipline leader, and among the first batch selected for Jiangxi Province's "Double-Thousand Talent Plan". During the tenure at Nanchang University, has taught over twenty system-related courses to undergraduates and graduate students.
Main research and teaching focus on database system software, including data-intensive computing, intelligent computing, high-efficiency computing, and distributed data storage. Has published over 50 high-level journal and conference papers as the first author in the fields of databases and distributed system architectures.
Serves on flagship journals including IEEE, ACM TKDE, TC, TPDS, and TCC, and has acted as program committee vice-chair and member for international flagship conferences such as IEEE ICDE, INFOCOM, BigData, IWQoS, and ICDCS. A researcher in computer database systems.
Shengbo Chen received the B.E. and M.E. degrees from the Department of Electronic Engineering, Tsinghua University, Beijing, China, in 2006 and 2008, respectively, and the Ph.D. degree from Ohio State University, Columbus, OH, USA, in 2013. From 2013 to 2019, he was a Senior Research Engineer with the Qualcomm Research Center, San Diego, CA, USA. He is currently a Professor with the School of Software, Nanchang University, China. He published over 40 papers and holds more than 50 U.S. patents on 5G and AI area. Dr. Chen received the Best Student Paper Award for WiOpt 2013.
