The Armada model describes how a distributed database system evolves, using multiple nodes that together form the database. In such system, posing a query involves continuously locating the right node until sucient data to answer the query has been found. Locating a node involves making a connection to such node. Since making a connection is expensive in time, avoiding to do so where possible, pays oin the total query execution time. In this short paper, we give an extended summary of our work on cutting down the number of made connections per query in an Armada syste
A major cost in executing queries in a distributed database system is the data transfer cost incurre...
Traditionally, allocation of data in distributed database management systems has been determined by ...
Our research focuses on developing a methodology for designing distributed database systems. This me...
tinues to grow at an increasing rate. Distribution is a key solution to overcome this data explosion...
The data on the web, in digital libraries, in scientific repositories, etc. continues to grow at an ...
The current database deployment palette ranges from networked sensor-based devices to large data/com...
In a world where data usage becomes more and more widespread, single system solutions are no longer...
The technology of distributed databases (DDB) is based on two other technologies which have develope...
[[abstract]]Mermaid is a testbed system which provides integrated access to multiple databases. Two ...
The requirements of wide-area distributed database systems differ dramatically from those of LAN sys...
This research is concerned with a model and a method of minimizing the inter-site data traffic incur...
Distributed database systems can yield significant cost and performance advantages over centralized ...
To support web application performance scalability, it is important to optimize stored data, which c...
The paper presents actions required to tune a distributed database to obtain optimal the performance...
AbstractIt is proposed that an optimal strategy for executing a join query in a distributed database...
A major cost in executing queries in a distributed database system is the data transfer cost incurre...
Traditionally, allocation of data in distributed database management systems has been determined by ...
Our research focuses on developing a methodology for designing distributed database systems. This me...
tinues to grow at an increasing rate. Distribution is a key solution to overcome this data explosion...
The data on the web, in digital libraries, in scientific repositories, etc. continues to grow at an ...
The current database deployment palette ranges from networked sensor-based devices to large data/com...
In a world where data usage becomes more and more widespread, single system solutions are no longer...
The technology of distributed databases (DDB) is based on two other technologies which have develope...
[[abstract]]Mermaid is a testbed system which provides integrated access to multiple databases. Two ...
The requirements of wide-area distributed database systems differ dramatically from those of LAN sys...
This research is concerned with a model and a method of minimizing the inter-site data traffic incur...
Distributed database systems can yield significant cost and performance advantages over centralized ...
To support web application performance scalability, it is important to optimize stored data, which c...
The paper presents actions required to tune a distributed database to obtain optimal the performance...
AbstractIt is proposed that an optimal strategy for executing a join query in a distributed database...
A major cost in executing queries in a distributed database system is the data transfer cost incurre...
Traditionally, allocation of data in distributed database management systems has been determined by ...
Our research focuses on developing a methodology for designing distributed database systems. This me...