A Framework for Developing Real-Time OLAP algorithm using Multi-core processing and GPU:Heterogeneous Computing

Autor:	Haytham I. M. Alzeini, Mohamed Hadi Habaebi, Shihab A. Hameed
Rok vydání:	2013
Předmět:	Multi-core processor Decision support system Theoretical computer science Order (exchange) Computer science Distributed computing Online analytical processing Response time Symmetric multiprocessor system Data warehouse
Zdroj:	IOP Conference Series: Materials Science and Engineering. 53:012043
ISSN:	1757-899X 1757-8981
DOI:	10.1088/1757-899x/53/1/012043
Popis:	The overwhelmingly increasing amount of stored data has spurred researchers seeking different methods in order to optimally take advantage of it which mostly have faced a response time problem as a result of this enormous size of data. Most of solutions have suggested materialization as a favourite solution. However, such a solution cannot attain Real-Time answers anyhow. In this paper we propose a framework illustrating the barriers and suggested solutions in the way of achieving Real-Time OLAP answers that are significantly used in decision support systems and data warehouses.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::5031f2b4e8527d6174d141ed7cc58419 https://doi.org/10.1088/1757-899x/53/1/012043 Zobrazit plný text záznamu