Can Relational DBMS Scale-up to the Cloud?

Feuerlicht, G

Can Relational DBMS Scale-up to the Cloud?

Feuerlicht, G

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Publisher:: Springer Science+Business Media
Publication Type:: Conference Proceeding
Citation:: Information Systems Development - Reflections, Challenges and New Directions., 2013, pp. 1 - 12
Issue Date:: 2013-01

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Field	Value	Language
dc.contributor.author	Feuerlicht, G	en_US
dc.contributor.editor	Pooley, RJ	en_US
dc.contributor.editor	Coady, J	en_US
dc.contributor.editor	Linger, H	en_US
dc.contributor.editor	Barry, C	en_US
dc.contributor.editor	Lang, M	en_US
dc.date	2011-08-24	en_US
dc.date.issued	2013-01	en_US
dc.identifier.citation	Information Systems Development - Reflections, Challenges and New Directions., 2013, pp. 1 - 12	en_US
dc.identifier.isbn	978-1-4614-4950-8	en_US
dc.identifier.uri	http://hdl.handle.net/10453/23747
dc.description.abstract	Dominance of relational DBMS technology is being challenged by rapidly advancing requirements of new types of applications that need to manage massive amounts of complex data. The latest challenge is to provide effective data management for cloud computing environments. A number of non-relational data stores have been implemented and deployed to run over thousands of commodity servers and process petabytes of data. Proponents of the NoSQL movement argue that relational databases are being superseded by more advanced database technology designed to take advantage of cloud infrastructure. In this paper we give a balanced discussion of the advantages and drawbacks of RDBMS systems and NoSQL data stores, and describe research efforts to extend the relational databases so that they can operate effectively on cloud infrastructure	en_US
dc.publisher	Springer Science+Business Media	en_US
dc.relation.ispartof	Information Systems Development - Reflections, Challenges and New Directions.	en_US
dc.relation.ispartof	International Conference on Information Systems Development	en_US
dc.relation.isbasedon	10.1007/978-1-4614-4951-5_26	en_US
dc.title	Can Relational DBMS Scale-up to the Cloud?	en_US
dc.type	Conference Proceeding
utslib.location	Germany	en_US
utslib.location.activity	Edinburgh, Scotland	en_US
utslib.for	0806 Information Systems	en_US
dc.location.activity	Edinburgh, Scotland	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - HCTD - Human Centred Technology Design
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.finish-date	2011-08-26	en_US
pubs.place-of-publication	Germany	en_US
pubs.publication-status	Published	en_US
pubs.start-date	2011-08-24	en_US

Abstract:

Dominance of relational DBMS technology is being challenged by rapidly advancing requirements of new types of applications that need to manage massive amounts of complex data. The latest challenge is to provide effective data management for cloud computing environments. A number of non-relational data stores have been implemented and deployed to run over thousands of commodity servers and process petabytes of data. Proponents of the NoSQL movement argue that relational databases are being superseded by more advanced database technology designed to take advantage of cloud infrastructure. In this paper we give a balanced discussion of the advantages and drawbacks of RDBMS systems and NoSQL data stores, and describe research efforts to extend the relational databases so that they can operate effectively on cloud infrastructure

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http://hdl.handle.net/10453/23747