Data cube pre-computation is an important concept for supporting OLAP(Online Analytical Processing) and has been studied extensively. It is often not feasible to compute a complet...
Cuiping Li, Gao Cong, Anthony K. H. Tung, Shan Wan...
Grids currently serve as platforms for numerous scientific as well as business applications that generate and access vast amounts of data. In this paper, we address the need for e...
During the last two decades, Single Instruction Multiple Data (SIMD) processors have become important architectures in embedded systems for image processing applications. The main ...
Parallelism can be used for major performance improvement in large Data warehouses (DW) with performance and scalability challenges. A simple low-cost shared-nothing architecture ...
Introducing heterogeneous mobile devices, such as mobile phones into the large scale sparse wireless sensor networks is a promising research direction. These devices acting as mob...