Concurrency Control and Recovery in Oltp Systems: High Scalability and Availability (East China Normal University Scientific Reports)
Cai, East China Normal University China Peng; Guo, East China Normal University China Jinwei; Zhou, East China Normal University China Aoying
Language: English
Published by World Scientific Publishing Company, 2019
Series: Book 9 of 15 - East China Normal University Scientific Reports
- Hardcover
- New
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- Title
- Concurrency Control and Recovery in Oltp Systems: High Scalability and Availability (East China Normal University Scientific Reports)
- Author
- Cai, East China Normal University China Peng; Guo, East China Normal University China Jinwei; Zhou, East China Normal University China Aoying
- Publisher
- World Scientific Publishing Company
- Publication year
- 2019
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 9813279222
- ISBN 13
- 9789813279223
- Item weight
- 549 grams
- Series
- Book 9 of 15: East China Normal University Scientific Reports
Transaction processing is fundamental for many modern applications. These applications require the backend transaction processing engines to be available at all times as well as provide a massive horizontal scale for intensive transaction requests.
Concurrency Control and Recovery features recent progress in research in online transaction processing. The book also showcases the authors' research on a highly scalable OLTP system. Its contents include the designs of an efficient multiple version storage engine, a scalable range optimistic concurrency control, high-performance Paxos-based log replication, global snapshot isolation, and fast follower recovery.
This book is written for professionals, researchers, and graduate students specialising in database systems and its related fields.
"Synopsis" may belong to another edition of this title.
About the Author
Peng Cai is an associate professor in the School of Data Science and Engineering at East China Normal University (ECNU). He received his PhD degree in Computer Science and Technology from ECNU in 2011. He joined ECNU in 2015, prior to which Peng worked for IBM China Research Lab and Baidu. His work has been published in various leading conferences, such as ICDE, SIGIR, and ACL. His main research interests include in-memory transaction processing, and building adaptive systems using machine learning techniques.
Jinwei Guo is a PhD candidate in the School of Data Science and Engineering at East China Normal University (ECNU). He received his bachelor's degree in Computer Science and Technology from Qufu Normal University, China in 2010, and his master's degree from Guizhou University, China in 2014. His research interests include transaction processing in database management systems (DBMS) and high availability in distributed systems.
Aoying Zhou is currently vice president of East China Normal University (ECNU), and a professor in the School of Data Science and Engineering. He received his master's and bachelor's degrees in Computer Science from Sichuan University, China, in 1988 and 1985 respectively, and his PhD degree from Fudan University, China, in 1993. Before joining ECNU in 2008, Aoying worked for Fudan University in the Computer Science Department for 15 years. He is the winner of the National Science Fund for Distinguished Young Scholars supported by the National Natural Science Foundation of China (NSFC), as well as the professorship appointment under the Changjiang Scholars Program of the Ministry of Education, China. He is now acting as a vice-director of ACM SIGMOD (Association for Computing Machinery's Special Interest Group on Management of Data) China, and the Database Technology Committee of the China Computer Federation. Prof Zhou was a serving member of the editorial boards of journals such as The VLDB Journal and World Wide Web Journal, amongst others. His research interests include web data management, data management for data-intensive computing, memory cluster computing, benchmarking for big data, and performance.
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