Non-Volatile Memory Database Management Systems: Synthesis Lectures on Data Management
Autor Joy Arulraj, Andrew Pavloen Limba Engleză Paperback – 12 feb 2019
We present the design and implementation of DBMS architectures that are explicitly tailored for NVM. The book focuses on three aspects of a DBMS: (1) logging and recovery, (2) storage and buffer management, and (3) indexing. First, we present a logging and recovery protocol that enables the DBMS to support near-instantaneous recovery. Second, we propose astorage engine architecture and buffer management policy that leverages the durability and byte-addressability properties of NVM to reduce data duplication and data migration. Third, the book presents the design of a range index tailored for NVM that is latch-free yet simple to implement. All together, the work described in this book illustrates that rethinking the fundamental algorithms and data structures employed in a DBMS for NVM improves performance and availability, reduces operational cost, and simplifies software development.
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Specificații
ISBN-13: 9783031007408
ISBN-10: 3031007409
Pagini: 173
Ilustrații: XVII, 173 p.
Dimensiuni: 191 x 235 mm
Greutate: 0.34 kg
Editura: Springer International Publishing
Colecția Springer
Seria Synthesis Lectures on Data Management
Locul publicării:Cham, Switzerland
ISBN-10: 3031007409
Pagini: 173
Ilustrații: XVII, 173 p.
Dimensiuni: 191 x 235 mm
Greutate: 0.34 kg
Editura: Springer International Publishing
Colecția Springer
Seria Synthesis Lectures on Data Management
Locul publicării:Cham, Switzerland
Cuprins
Acknowledgments.- Introduction.- The Case for a NVM-Oriented DBMS.- Storage Management.- Logging and Recovery.- Buffer Management.- Indexing.- Related Work.- Future Work.- Conclusion.- Bibliography.- Authors' Biographies.
Notă biografică
Joy Arulraj is an Assistant Professor of Database Systems in the School of Computer Scienceat Georgia Institute of Technology. His doctoral research focused on the design and implementation of non-volatile memory database management systems. He is a member of the DatabaseGroup and the Center for Experimental Research in Computer Systems at Georgia Tech. His work is also in collaboration with the Intel Science and Technology Center for Big Data, Microsoft Research, and Samsung Research.Andrew Pavlo is an Assistant Professor of Databaseology in the Computer Science Department at Carnegie Mellon University. At CMU, he is a member of the Database Group and the Parallel Data Laboratory. His work is also in collaboration with the Intel Science and Technology Center for Big Data.