Efficiency in Cluster Database Systems - Dynamic and Workload-Aware Scaling and Allocation [Elektronische Ressource] / Tilmann Rabl. Betreuer: Harald Kosch

Lehrstuhl fur Verteilte InformationssystemeFakult at fur Informatik und MathematikUniversit at PassauDoctoral ThesisE ciency in Cluster Database SystemsDynamic and Workload-Aware Scaling and AllocationDipl. Inf. Tilmann RablJuly 21, 2011Advisor: Prof. Dr. Harald KoschSecond Advisor: Prof. Lionel BrunieFor Michael Hendrik RablAbstractDatabase systems have been vital in all forms of data processing for a long time. In recentyears, the amount of processed data has been growing dramatically, even in small projects.Nevertheless, database management systems tend to be static in terms of size and perfor-mance which makes scaling a di cult and expensive task. Because of performance andespecially cost advantages more and more installed systems have a shared nothing clusterarchitecture. Due to the massive parallelism of the hardware programming paradigmsfrom high performance computing are translated into data processing. Database researchstruggles to keep up with this trend. A key feature of traditional database systems isto provide transparent access to the stored data. This introduces data dependencies andincreases system complexity and inter process communication. Therefore, many develop-ers are exchanging this feature for a better scalability. However, explicitly managing thedata distribution and data ow requires a deep understanding of the distributed systemand reduces the possibilities for automatic and autonomic optimization.