Title :
Pocket-cubes, bringing multidimensional data views to mobile platforms
Author :
Ribeiro, Jorge ; Belo, Orlando
Author_Institution :
Polytech. Inst. of Viana do Castelo, Viana do Castelo, Portugal
Abstract :
From simple entertainment gadgets to real world based applications, a little bit of everything is in a mobile platform. Thus, it´s not a surprise that enterprise managers, decision makers or business analytics use it also to support their most regular daily business activities. Following the same fast adoption path of other applications, their analytical needs quickly appeared in their horizon as one of the most useful applications that they could bring in their “pockets”. The data structures of such applications are very large to be received by mobile platforms. Data cubes still are quite out from currently mobile platforms´ data manipulation boundaries. However, a lot of efforts were developed during the last few years to provide smaller hyper cubes with the same exploitation potentialities, requiring less computational resources as disk storage and processing time, appealing to better data compression techniques or multidimensional views selection. In this paper we present the most usual techniques for compressing and processing data cubes. In order to support such approach we designed and developed the Pocket Cubes system, an application especially oriented to prepare data cubes to be used on mobile platforms.
Keywords :
business data processing; data compression; data structures; disc storage; entertainment; mobile computing; storage management; business activities; data compression techniques; data cube compressing; data cube processing; data manipulation boundaries; data structures; disk storage; entertainment gadgets; exploitation potentialities; hyper cubes; mobile platform; mobile platforms; multidimensional view selection; pocket cubes system; processing time; real world based applications; Algorithm design and analysis; Computer architecture; Databases; Mobile communication; Mobile computing; Mobile handsets; Servers; Cube Selection and Processing; Data Compression; Mobile Platforms for Business Analytics; OLAP;
Conference_Titel :
Systems, Man and Cybernetics (SMC), 2014 IEEE International Conference on
Conference_Location :
San Diego, CA
DOI :
10.1109/SMC.2014.6974481