The paper argues that recent developments in non-volatile solid-state store allow a new implementation paradigm for databases. This involves replacing slow rotating storage with all-semiconductor data stores. A mechanism is presented to achieve high reliability with this medium. The relatively higher costs of semiconductor store make data compression advantageous. It is argued that relational databases are well suited to this. Empirical measures of the potential for compression in a commercial database are presented
Abstract-Memory resident database systems (MMDB’s) store 2) Main memory is normally volatile, while ...
Scientific and statistical database systems heavily depend on data compression techniques to make po...
Data compression is one way to gain better performance from a database. Compression is typically ach...
The paper argues that recent developments in non-volatile solid-state store allow a new implementati...
Lightweight integer compression algorithms play an important role in in-memory database systems to t...
It is common to store huge amount of data in relation databases. Despite that storage is cheap, data...
Traditional Database Management System (DBMS) software relies on hard disks for storing relational d...
Database machines are special purpose backend architectures that are designed to support efficiently...
D espite the fact that computer memory costs have decreased ramatically over the past few years, dat...
This thesis introduces a new approach to understanding the issues relating to the efficient implemen...
The emergence of more reliable, often much faster solid-stage storage devices is revolutionizing mos...
The next generation memory storage revolution is triggered with the advent of the Non-Volatile Memor...
The recent advances in hardware technologies - i.e. highly scalable multi-core NUMA architectures an...
Columnar databases have dominated the data analysis market for their superior performance in query p...
Managing dormant data in very large databases (VLDB) is about striking a balance between cost and pe...
Abstract-Memory resident database systems (MMDB’s) store 2) Main memory is normally volatile, while ...
Scientific and statistical database systems heavily depend on data compression techniques to make po...
Data compression is one way to gain better performance from a database. Compression is typically ach...
The paper argues that recent developments in non-volatile solid-state store allow a new implementati...
Lightweight integer compression algorithms play an important role in in-memory database systems to t...
It is common to store huge amount of data in relation databases. Despite that storage is cheap, data...
Traditional Database Management System (DBMS) software relies on hard disks for storing relational d...
Database machines are special purpose backend architectures that are designed to support efficiently...
D espite the fact that computer memory costs have decreased ramatically over the past few years, dat...
This thesis introduces a new approach to understanding the issues relating to the efficient implemen...
The emergence of more reliable, often much faster solid-stage storage devices is revolutionizing mos...
The next generation memory storage revolution is triggered with the advent of the Non-Volatile Memor...
The recent advances in hardware technologies - i.e. highly scalable multi-core NUMA architectures an...
Columnar databases have dominated the data analysis market for their superior performance in query p...
Managing dormant data in very large databases (VLDB) is about striking a balance between cost and pe...
Abstract-Memory resident database systems (MMDB’s) store 2) Main memory is normally volatile, while ...
Scientific and statistical database systems heavily depend on data compression techniques to make po...
Data compression is one way to gain better performance from a database. Compression is typically ach...
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