International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064




Downloads: 128 | Views: 236

Research Paper | Computer Science & Engineering | India | Volume 2 Issue 1, January 2013 | Rating: 6.7 / 10


Architecture for Analysis of Multi-Dimensional Data using Standalone Desktop based Cluster

Suja P Mathews | Sunu George


Abstract: The critical parameters of multi-dimensional data analysis are its data size and the number of computations. The data size is typically large and the numbers of computations are immense. The complexity increases further when the dimensions and the resulting intersection space are larger. The processing involves data access, required computations and aggregations considering all dimensions with the multi-level hierarchical grouping. The large amount of data and resulting computations require huge processing power and memory, which are usually found in Symmetric Multi-Processing (SMP) machines. Here we present architecture to analyze multidimensional data using a cluster of regular desktop computers which do not share anything between them. All the tasks like building the multidimensional cube, storage of data, data query and the computations are distributed across the standalone nodes of the cluster. Thus, we can achieve infinite scalability and excellent performance.


Keywords: Multidimensional data analysis, Messaging based IPC, Desktop Cluster


Edition: Volume 2 Issue 1, January 2013,


Pages: 158 - 161



How to Download this Article?

Type Your Valid Email Address below to Receive the Article PDF Link


Verification Code will appear in 2 Seconds ... Wait

Top