Grid-based decision support with pro-active mobile computing

Author(s):  
M. Ong ◽  
M. Alkarouri ◽  
X. Ren ◽  
G. Allan ◽  
V. Kadirkamanathan ◽  
...  
2014 ◽  
Vol 141 (6) ◽  
pp. 834-840 ◽  
Author(s):  
Richard S. P. Huang ◽  
Elena Nedelcu ◽  
Yu Bai ◽  
Amer Wahed ◽  
Kimberly Klein ◽  
...  

2001 ◽  
Vol 02 (03) ◽  
pp. 379-390 ◽  
Author(s):  
YEU WU ◽  
YONGHONG TIAN ◽  
WANLEI ZHOU

The emergence of mobile computing environments brings out various changes in the requirements and applications involving distributed data and has made the traditional Intelligent Decision Support System (IDSS) architectures based on the client/server model ineffective in mobile computing environments. This paper discusses the deficiencies of the current IDSS architectures based on data warehouse, on-line analysis processing (OLAP), model base (MB) and knowledge based (KB) technologies. By adopting the agent technology, the paper extends the IDSS system architecture to the Mobile Decision Support System (MDSS) architecture. The logical structure and the application architecture of the MDSS and the mechanisms and implementation strategies of the User Access Agent System, a major component of the MDSS, are described in this paper.


Author(s):  
David Manset ◽  
Frederic Pourraz ◽  
Alexey Tsymbal ◽  
Jerome Revillard ◽  
Konstantin Skaburskas ◽  
...  

The Health-e-Child project started in January 2006 with the aim of developing a Grid-based healthcare platform for European paediatrics and providing seamless integration of traditional and emerging sources of biomedical information. The objective of this chapter is to share experiences, and present major issues faced, solutions found and a roadmap for future work in developing the Grid infrastructure for interactive biomedical applications in the project, as Health-e-Child approaches its final phases. This chapter starts with a brief introduction of the project itself, followed by a description of its architecture on the Grid. It then illustrates the approach with the description of a concrete example of one integrated key application, the Health-e-Child CaseReasoner, which is intended for biomedical decision support over the Grid, and is based on similarity search and advanced data visualization techniques.


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