2001 Fiscal Year Final Research Report Summary
STATISTICAL Analysis System with Distributed processing Abilities Using Inernet
Project/Area Number |
11680333
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Statistical science
|
Research Institution | The Institute of Statistical Mathematics |
Principal Investigator |
NAKANO Junji The Institute of Statistical Mathematics, Center for Development of Statistical Computing, Professor, 統計計算開発センター, 教授 (60136281)
|
Project Period (FY) |
1999 – 2001
|
Keywords | Client / server architecture / Distributed processing / Graphical user interface / Internet / Java language |
Research Abstract |
The aim of this research is to propose a statistical analysis system which can perform distributed processing using the Internet with easy and simple operations through an advanced graphical user interface. As statistical procedures should be used for real data by using computers, it is one of the important topics of statistics to make an easy and powerful statistical analysis system using recent progresses of computing technologies, especially the Internet related ones. Considering that amount of data have become very large in these days, distributed processing using many computers connected by the Internet is promising. In this research, we have made a prototype statistical system Jasp (JAva based Statistical Processor), which considered distributed processing abilities from the beginning of its design. Jasp is written in the Java language, a system construction language which has many recent developed computing technologies neatly, including functions for communications among remote computers. By using these Java technologies, we have realized a client/server architecture, distributed processing abilities, an easy graphical user interface and a simple statistical language. Therefore, Jasp has archived the airn of his research to some extent. .Jasp has, however, still some deficiencics : less reliability or lack of required functions. We will improve these deficiencies and will make Jasp a useful tool for statisticians.
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