On recovery and consistency preservation in distributed real-time database systems
In this dissertation, we consider the problem of recovering a crashed node in a distributed database. We especially focus on real-time recovery in eventually consistent databases, where the consistency of replicated data is traded off for increased predictability, availability and performance. To achieve this focus, we consider consistency preservation techniques as well as recovery mechanisms.Our approach is to perform a thorough literature survey of these two fields. The literature survey considers not only recovery in real-time, distributed, eventually consistent databases, but also related techniques, such as recovery in main-memory resident or immediately consistent databases. We also examine different techniques for consistency preservation.Based on this literature survey, we present a taxonomy and state-of-the-art report on recovery mechanisms and consistency preservation techniques. We contrast different recovery mechanisms, and highlight properties and aspects of these that make them more or less suitable for use in an eventually consistent database. We also identify unexplored areas and uninvestigated problems within the fields of database recovery and consistency preservation. We find that research on real-time recovery in distributed databases is lacking, and we also propose further investigation of how the choice of consistency preservation technique affects (or should affect) the design of a recovery mechanism for the system.
School:Högskolan i Skövde
Source Type:Master's Thesis
Keywords:databases recovery consistency distribution real time
Date of Publication:01/11/2008