Implementing Computational Resources in Distributed Databases

Kakasevski, G. and Mišev, Anastas (2013) Implementing Computational Resources in Distributed Databases. In: Proceedings of the Tenth Conference on Informatics and Information Technology. Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje, Macedonia, Skopje, Macedonia, pp. 264-268. ISBN 978-608-4699-01-9

[img]
Preview
Text
978-608-4699-01-9_pp264-268.pdf

Download (544kB) | Preview
Official URL: http://ciit.finki.ukim.mk

Abstract

Distributed databases serve for storing and organizing heterogeneous data in distributed manner. Basic operations on data are included in these systems, like executing SQL queries or distributed query processing. But basic operations are not enough and users have needs for more complex operations, mainly based on data mining algorithms, like association rule mining. Other operations (algorithms) from third party vendors is difficult to integrate, these algorithms can be CPU intensive and can make difficult the normal functioning of data servers. OGSA-DAI is an example of open source extensible service-oriented distributed database system. On the other side, many algorithms are not built in Java, they aren't open source projects and can't be easily incorporated in OGSA-DAI workflows or their CPU needs are over the capacity of data server. For that reason, we propose architecture (OGSA-DAI extension) with new computational resources and activities that allow execution of external jobs, and returning data into OGSA-DAI workflow.

Item Type: Book Section
Subjects: International Conference on Informatics and Information Technologies > Distributed Systems
International Conference on Informatics and Information Technologies > GRID Computing
International Conference on Informatics and Information Technologies > Cloud Computing
Depositing User: Vangel Ajanovski
Date Deposited: 28 Oct 2016 00:15
Last Modified: 28 Oct 2016 00:15
URI: http://eprints.finki.ukim.mk/id/eprint/11099

Actions (login required)

View Item View Item