1 / 17

KNOWLEDGE GRIDS

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

freira
Download Presentation

KNOWLEDGE GRIDS

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

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

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

  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(Resoeallocation and exection management services)‏ • To findsuitablemappingbetweenexecutionplan and availableresources • The goal is to satisfyapplicationrequirements • The layercanalsouse 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 Fig. 2. Design process of a data mining computation Distributed Data Mining on Grids: Services Tools and Applications fig2

  11. VEGA SOFTWARE MODULES 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

More Related