Jens Kohler

Optimizing Query Strategies in Fixed Vertical Partitioned and Distributed Databases and their Application in Semantic Web Databases


Front	Back

ISBN:

978-3-8440-6097-3

Series:

Informatik

Keywords:

Distributed Cloud Databases; Cloud Security; Relational and Non-Relational Databases

Type of publication:

Thesis

Language:

English

Pages:

220 pages

Figures:

57 figures

Weight:

326 g

Format:

21 x 14,8 cm

Bindung:

Paperback

Price:

49,80 € / 62,30 SFr

Published:

August 2018

Buy:

DOI:

10.2370/9783844060973 (Online document)

Download:

Available PDF-Files for this title:

You need the Adobe Reader, to open the files. Here you get help and information, for the download.

These files are not printable.


	Document		Abstract
	Type		PDF
	Costs		free
	Action		Diplay of file - 246 kB (252408 Byte)
	Action		Download of file - 246 kB (252408 Byte)


	Document		Document
	Type		PDF
	Costs		12,45 EUR
	Action		Purchase in obligation and display of file - 3,4 MB (3557585 Byte)
	Action		Purchase in obligation and download of file - 3,4 MB (3557585 Byte)


	Document		Table of contents
	Type		PDF
	Costs		free
	Action		Diplay of file - 168 kB (172201 Byte)
	Action		Download of file - 168 kB (172201 Byte)

User settings for registered users

You can change your address here or download your paid documents again.

User:	Not logged in.
Actions:	Login / Register Forgotten your password?

Recommendation:

You want to recommend this title?

Review copy

Here you can order a review copy.

Link

You want to link this page? Click here.

Abstract

Storing data in relational databases has a long history since Codd defined the relational model and its normal forms in (Codd, 1970). Such relational databases still build the foundation for various applications throughout all application domains even with todays growing data volumes. It is assumed that, despite a rapid dissemination of In-Memory or NoSQL databases, relational databases will keep their important role.

Hence, also relational databases are used as a foundation to store huge volumes of data and this is exactly where Cloud Computing offers dynamic and scalable capabilities. Renting such technological assets and capabilities from external cloud providers is an interesting approach. The pay-as-you-go character of these cloud offers, promise the usage of computing assets without large initial investments. In Cloud Computing environments, dedicated services are used for a certain time and are paid only for the respective usage. Moreover, as there are dedicated services, the complexity to integrate and use them is considered lower compared to paradigms like service-oriented architectures.

As there are still open data security and data protection challenges, the usage of especially public Cloud Computing is far behind the expectations of e.g. Gartner (Carlton, 2013) and IDC (Gens & Shirer, 2013). Thus in this thesis, data security and data protection challenges for relational databases are addressed with the definition and an implementation of a framework for a SEcure and DI stributed C loud Data StOre, exploiting afixed vertical partitioning and distribution (FVPD) scheme. The main contribution of this work is to show that the proposed framework provides comparable response times to non-partitioned relational databases using cloud infrastructures and contemporary hardware devices.