Evaluating database system performance often requires generating synthetic databases -- ones having certain statistical properties but filled with dummy information. When evaluating different database designs, it is often necessary to generate several databases and evaluate each design. As database sizes grow to terabytes, generation often takes longer than evaluation. This paper presents several database generation techniques. In particular it discusses: (1) Parallelism to get generation speedup and scaleup
. Parallel database systems are generally recognised as one of the most important application areas ...
To evaluate the performance of database applications and database management systems (DBMSs), we usu...
It is common knowledge that the modern world generates and stores information at an increasing rate....
The exponential growth in the amount of data retained by today’s systems is fostered by a recent par...
This paper describes an approach to performance estimation for shared-nothing parallel database syst...
Parallel servers offer improved processing power for relational database systems and provide system ...
There is often a need for using large test databases for benchmarking of DBMS query optimizers, perf...
Benchmarking is one of several alternate methods of performance evaluation, which is a key aspect in...
This research project will be focused on parallel processing as it is used with database management ...
In many fields of research and business data sizes are breaking the petabyte barrier. This imposes n...
grantor: University of TorontoStringent performance requirements in DB applications have l...
In the current work, we derive a complete approach to optimization and automatic parallelization of ...
Parallel database machine architectures have evolved from the use of exotic hardware to a software p...
The objective of this thesis was to study problems of an insufficient database processing performanc...
This article discusses the technologies and techniques for implementing the fault tolerance of the s...
. Parallel database systems are generally recognised as one of the most important application areas ...
To evaluate the performance of database applications and database management systems (DBMSs), we usu...
It is common knowledge that the modern world generates and stores information at an increasing rate....
The exponential growth in the amount of data retained by today’s systems is fostered by a recent par...
This paper describes an approach to performance estimation for shared-nothing parallel database syst...
Parallel servers offer improved processing power for relational database systems and provide system ...
There is often a need for using large test databases for benchmarking of DBMS query optimizers, perf...
Benchmarking is one of several alternate methods of performance evaluation, which is a key aspect in...
This research project will be focused on parallel processing as it is used with database management ...
In many fields of research and business data sizes are breaking the petabyte barrier. This imposes n...
grantor: University of TorontoStringent performance requirements in DB applications have l...
In the current work, we derive a complete approach to optimization and automatic parallelization of ...
Parallel database machine architectures have evolved from the use of exotic hardware to a software p...
The objective of this thesis was to study problems of an insufficient database processing performanc...
This article discusses the technologies and techniques for implementing the fault tolerance of the s...
. Parallel database systems are generally recognised as one of the most important application areas ...
To evaluate the performance of database applications and database management systems (DBMSs), we usu...
It is common knowledge that the modern world generates and stores information at an increasing rate....