Backup and recovery in database systems. Methods, classification, implementation, valuation (Q2735572)

Backup and Recovery in Datenbanksystemen covers fundamentals and advanced topics of backup and recovery in modern database management systems. The book has a focus on media recovery and is based on a survey of relevant research as well as on evaluations of commercial products. Following an introductory chapter, chapter 2 presents basic notions related to failure handling in database systems, in particular key concepts of backup and recovery, a brief survey of research on recovery, and a summary of backup and recovery functionalities offered by current commercial products. Chapter 3 describes a sophisticated benchmarking environment, which is used to assess analytical cost models and different implementations of backup and recovery algorithms later on. Chapter 4 surveys logging and reapply techniques, proposes analytical cost models, and presents a novel log clustering algorithm called LogSplit, which allows programmers to improve the performance of reapply algorithms. Chapter 5 discusses backup and recovery techniques (complete, online, incremental, and parallel) in detail, and proposes a novel algorithm, SelectiveRead\(_{\text{Gap}}\), for fast incremental backup. Chapter 6 concludes with summary and outlook.NEWLINENEWLINENEWLINEThis book provides an extensive survey of relevant techniques addressing media failures in database systems, based on a systematic presentation and classification of approaches in this area. Although parts of the presentation seem to be a bit short, the book includes extensive pointers to relevant literature and seminal papers, rendering it an excellent starting point for researchers and system implementors that are interested in the state of the art of backup and recovery techniques.