Research and Implementation of OLAP System Based on Cloud Computing Platform

The advent of cloud computing addresses perfectly the problem of processing mass data. To further promote the development of our Geography information technology, cloud computing can be used to construct the system of the Geography environment information service application framework. It can also improve reusability and sharing of the information of Geography resources and extendibility of application system. In this paper, an OLAP system based on cloud computing platforms has been created referring to national welfare projects of ocean. The system provides its users multidimensional views, through which users can, from diverse angles and different levels, observe and study the data and comprehend them in depth.

[1]  Zheng Shao,et al.  Data warehousing and analytics infrastructure at facebook , 2010, SIGMOD Conference.

[2]  Zheng Shao,et al.  Hive - a petabyte scale data warehouse using Hadoop , 2010, 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010).

[3]  Pete Wyckoff,et al.  Hive - A Warehousing Solution Over a Map-Reduce Framework , 2009, Proc. VLDB Endow..

[4]  Christopher Olston,et al.  Building a HighLevel Dataflow System on top of MapReduce: The Pig Experience , 2009, Proc. VLDB Endow..

[5]  Matteo Golfarelli,et al.  Data Warehouse Design: Modern Principles and Methodologies , 2009 .

[6]  Mark Whitehorn,et al.  Problem solving for MDX for SQL Server 2005 , 2008 .

[7]  Kunle Olukotun,et al.  Map-Reduce for Machine Learning on Multicore , 2006, NIPS.

[8]  Hyoil Han,et al.  XML-OLAP: A Multidimensional Analysis Framework for XML Warehouses , 2005, DaWaK.

[9]  D. Curtis Jamison,et al.  Online Analytical Processing (OLAP): A Fast and Effective Data Mining Tool for Gene Expression Databases , 2005, Journal of biomedicine & biotechnology.

[10]  Sanjay Ghemawat,et al.  MapReduce: simplified data processing on large clusters , 2008, CACM.

[11]  Marco Vieira,et al.  A Dependability Benchmark for OLTP Application Environments , 2003, VLDB.

[12]  Erick Thomsen,et al.  Microsoft? OLAP Solutions , 1999 .

[13]  Stephen R. Gardner.  Building the data warehouse , 1998, CACM.

[14]  Erik Thomsen,et al.  OLAP Solutions - Building Multidimensional Information Systems , 1997 .

[15]  Zheng Wei,et al.  Cloud Computing:System Instances and Current Research , 2009 .