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KNOWLEDGE GRIDS

KNOWLEDGE GRIDS. Akshat Mishra GRID SEMINAR WINTER 2008 Feb 2008. KNOWLEDGE GRIDS. A multinational financial organization has data repositories in various locations allover the world

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KNOWLEDGE GRIDS

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  1. KNOWLEDGE GRIDS Akshat Mishra GRID SEMINAR WINTER 2008 Feb 2008

  2. KNOWLEDGE GRIDS • A multinational financial organization has data repositories in various locations allover the world • The company performs data mining operation such as clustering classification and other knowledge discovery procedures. • It uses data ming tools for knowlege discovery but faces problem doing co-ordinated work with all its centres.

  3. DISTRIBUTED MINING • Parallel platforms were used . • Implementing this task on geographically distributed sites was a challenge • Grid computing could be a possible solution • How could it be done?

  4. Evolution of Data Grids. • Data Grids store large data sets and are moved with the same ease like files. • Data Grids evolved into knowledge grid to aid distibuted high performance computation. • Along with the basic infrastructure of a grid, provided tools for knowledge discovery. • Knowledge Grids are distributed paralled software architecture supporting knowledge discovery

  5. ARCHITECTURE OF KNOWLEDGE GRID • Fig Fig. 1. KNOWLEDGE GRID architecture Distributed Data Mining on Grids:Services Tools and Applications

  6. ARCHITECTURE OF KNOWLEDGE GRID • Two main services of Core-K Grid layer • Knowledge discovery services • Extends the globus monitoring service ,manages metadata • The metadata include tools and resources to be mined. • Mining Tools and algorithms are also mined • Distributed execution plans

  7. ARCHITECTURE OF KNOWLEDGE GRID • RAEMS(Resouce allocation and exection management services)‏ • To find suitable mapping between execution plan and available resources • The goal is to satisfy application requirements • The layer can also use the facility of GRAM

  8. ARCHITECTURE OF KNOWLEDGE GRID • HIGHER LEVEL K GRID LAYER • DAS(Data Access Service)‏ • DAS is reponsible for searching ,selecting ,extracting,transforming and deleivering data to be mined • It is based on user requirement • TAAS(Tools and algorithms access service)‏ • TAAS is responsible for downloading algos & tools

  9. ARCHITECTURE OF KNOWLEDGE GRID • EPMS(Execution plan management Service)‏ • An execution plan is represented by graph • Graph describes data flow. • It is performed by a semi automatic tool • The tool takes data and programs selected by the user and generates an abstract exectution plan • Finally RPS analyzes the result pattern

  10. Design proces of Data Mining • fig2 Fig. 2. Design process of a data mining computation Distributed Data Mining on Grids: Services Tools and Applications

  11. VEGA SOFTWARE MODULES FIG 3 Vega Software Modules Distributed Data Mining on Grids: Services Tools and Applications

  12. GRAPHICAL REPRESENTATION FIGURE 3 :Dis • Visual Interface of Vega Distributed Data Mining on Grids: Services Tools and Applications

  13. AN EXAMPLE WORKSPACE 1 DISTRIBUTED DATA MINING ON GRIDS:SERVICES TOOLS AND APPLICATIONS

  14. Another defintion of Knowledge Grid • According to H.Zhuge knowledge grid is an intelligent sustainable internet application that enables people or virtual roles to effectively capture ,publish ,share and manage explicit knowledge resources • It also provides on demand services to support innovation cooperative teamwork ,problem solving and decision making.

  15. WHY KNOWLEDGE GRID • Evolving of Internet meant that the number of pages kept on increasing • Info in the form blogs, forums etc are exploding on the net • The large explode of informaiton meant there is need to have a information service that spans over an administrative domain.

  16. Evolving concept • An emerging technology and evolving concept • Google ---->SEARCH ENGINE • YAHOO----->INDEXING INFORMATION ON THE BASIS OF CATEGORY • Semantic web --->provides services along with information services

  17. References • Distributed Data Mining on Grids:Services Tools and applicatios , IEEE TRANSACTIONS ON Systems,MAN and Cybernetics,Vol 34,No6,December 2004 • The knowledge grid,By Mario Cannataro and Domenico Talia • http://en.wikipedia.org/wiki/Knowledge_Grid • A knowledge grid model and and platform for global knowledge sharing By H.Zughe • Grid Portals By Fugang Wang http://cyberaide.googlecode.com/svn/trunk/lectures/GridPortal.ppt

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