Interactive 3D visualization of soical network data using cloud computing

The social networks have revolutionized the online communication and data sharing. The researchers are now focusing on mining and analysis of large amount of social network data for a variety of purposes. However, because of the huge amount of continuously changing data, the data analysis in a daunting task. OLAP analysis is a famous data analysis method which can be used to analyze social data. This work extends our previous work in which we developed interactive 3D visual data cubes for high volume/dimension OLAP data analysis. The implementation of this scheme on traditional computing resources is much time consuming and resource intensive. The advances in cloud computing motivated us to use the cost effective cloud computing for the task of 3D visualization of social networks data. Therefore, in this paper, we propose the usage of cloud computing platforms as a possible solution for analyzing large amount of social network data.

[1]  A. Kartit,et al.  A taxonomy and survey of Cloud computing , 2013, 2013 National Security Days (JNS3).

[2]  Surajit Chaudhuri,et al.  An overview of data warehousing and OLAP technology , 1997, SGMD.

[3]  Ian Lumb,et al.  A Taxonomy and Survey of Cloud Computing Systems , 2009, 2009 Fifth International Joint Conference on INC, IMS and IDC.

[4]  Junfeng Yao,et al.  Cloud computing and its key techniques , 2011, Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology.

[5]  Alexander Lazovik,et al.  Mining Twitter in the Cloud: A Case Study , 2010, 2010 IEEE 3rd International Conference on Cloud Computing.

[6]  Lorraine Johnston,et al.  Handling multiple domain objects with Model-View-Controller , 1999, Proceedings Technology of Object-Oriented Languages and Systems. TOOLS 32.

[7]  Frans Coenen,et al.  Finding "interesting" trends in social networks using frequent pattern mining and self organizing maps , 2012, Knowl. Based Syst..

[8]  Rohit Pathak,et al.  Optimizing HPC and parallelization for computation Nanotechnology in MCCS environment , 2009, 2009 6th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology.

[9]  Beizhan Wang,et al.  Cloud computing and its key techniques , 2011, 2011 IEEE International Conference on Computer Science and Automation Engineering.

[10]  Yizeng Chen,et al.  Overview and analysis of cloud computing research and application , 2011, 2011 International Conference on E-Business and E-Government (ICEE).

[11]  Sung Wook Baik,et al.  A Study on the Generation of OLAP Data Cube Based on 3D Visualization Interaction , 2011, 2011 International Conference on Computational Science and Its Applications.

[12]  Kevin Lee,et al.  Management towards reducing cloud usage costs , 2011, 2011 7th Latin American Network Operations and Management Symposium.

[13]  Kwan-Liu Ma,et al.  An Interface Design for Future Cloud-Based Visualization Services , 2010, 2010 IEEE Second International Conference on Cloud Computing Technology and Science.