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Submitted To: Submitted By:
PROF:SANTOSH WAGHMODE OMKAR WAGHMARE
Seminar
On
Grid Computing
 WHAT IS GRID COMPUTING .
 HOW DOES GRID WORKS.
 WHY DO WE NEED GRID.
 GRID ARCHITECTURE.
 REAL TIME IMPLEMENTATION.
 ADVANTAGES.
 CONCLUSION.
 Grid computing is a distributed architecture
of a large numbers of computers connected
to solve a complex problem.
 In grid computing model server or personal
computers run independent task and are
loosely linked by the internet or low-speed
network.
 Grid computing is a collection of computer
resources from multiple locations to reach a
common goal .
 Grids use networks to link the computing
resources of many different computers.
 The cyber-glue that binds all of this
resources together is called “middleware”
There are many different types of middle-
ware developed for many different types of
grid.
 Middleware does all the work to connect
users thereby hiding the grids complexity
from the user.
 Grids allow you to combine the resources of
hundreds of computers to create a massively
powerful fully comprehensive computing
resource ,all accessible from the comfort of
your own personal computer.
 This means grids can react quickly to
changing needs :a tremendous resource for
crisis situations like natural disasters.
7
Autonomous, globally distributed computers/clusters
 IT EXTENDS THE NOTATION OF COMPU-
TATIONAL AND DATA GRIDS.
 A GRID SHOULD PROVIDE THE INTER-
FACES,LIBRARIES,UTILITIES AND PROG-
RAMMING API’S TO SUPPORT THE
DEVELOPMENT EFFORT REQUIRED.
 COMMAN TOOLS AND LIBRARIES FOR
BUILDING GRID APPLICATION INCLUDE
 HIGH PERFORMANCE C++.
 THE MESSAGE PASSING INTERFACE(MPI)
 ACCESS TO ANY RESOURCES FOR ANY ONE
,ANYWHERE,ANYTIMEFROM ANY PLATFORM.
 INCREASED USER PRODUCTIVITY:- BY
PROVIDING TRANSPARENT ACCESS TO
RESOURCES WORK CAN BE COMPLETED
MORE QUICKLY.
 SCALABILITY:- GRIDS CAN GROW SEAM-
LESSLY OVER TIME ALLOWING MANY
THOUSANDS OF PROCESSOR TO BE
INTEGRATED INTO ONE CLUSTER.
 FLEXIBILITY:- GRID COMPUTING PROVI-DES
COMPUTING POWER WHERE IT IS NEEDED
MOST HELPING TO BETTER MEET DYNAMI-
CALLY CHANGING WORK LOAD.
 GRID COMPUTING INTRODUCE A NEW
CONCEPT TO “IT” INFRASTRUCTURES
BECAUSE IT SUPPORT DISTRIBUTED
COMPUTING OVER A NETWORK OF
HETEROGENEOUS RESOURCES AND IS
ENABLED BY OPEN STANDARDS.
THANK YOU…….

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grid computing

  • 1. Submitted To: Submitted By: PROF:SANTOSH WAGHMODE OMKAR WAGHMARE Seminar On Grid Computing
  • 2.
  • 3.  WHAT IS GRID COMPUTING .  HOW DOES GRID WORKS.  WHY DO WE NEED GRID.  GRID ARCHITECTURE.  REAL TIME IMPLEMENTATION.  ADVANTAGES.  CONCLUSION.
  • 4.  Grid computing is a distributed architecture of a large numbers of computers connected to solve a complex problem.  In grid computing model server or personal computers run independent task and are loosely linked by the internet or low-speed network.  Grid computing is a collection of computer resources from multiple locations to reach a common goal .
  • 5.  Grids use networks to link the computing resources of many different computers.  The cyber-glue that binds all of this resources together is called “middleware” There are many different types of middle- ware developed for many different types of grid.  Middleware does all the work to connect users thereby hiding the grids complexity from the user.
  • 6.  Grids allow you to combine the resources of hundreds of computers to create a massively powerful fully comprehensive computing resource ,all accessible from the comfort of your own personal computer.  This means grids can react quickly to changing needs :a tremendous resource for crisis situations like natural disasters.
  • 8.  IT EXTENDS THE NOTATION OF COMPU- TATIONAL AND DATA GRIDS.  A GRID SHOULD PROVIDE THE INTER- FACES,LIBRARIES,UTILITIES AND PROG- RAMMING API’S TO SUPPORT THE DEVELOPMENT EFFORT REQUIRED.  COMMAN TOOLS AND LIBRARIES FOR BUILDING GRID APPLICATION INCLUDE  HIGH PERFORMANCE C++.  THE MESSAGE PASSING INTERFACE(MPI)  ACCESS TO ANY RESOURCES FOR ANY ONE ,ANYWHERE,ANYTIMEFROM ANY PLATFORM.
  • 9.  INCREASED USER PRODUCTIVITY:- BY PROVIDING TRANSPARENT ACCESS TO RESOURCES WORK CAN BE COMPLETED MORE QUICKLY.  SCALABILITY:- GRIDS CAN GROW SEAM- LESSLY OVER TIME ALLOWING MANY THOUSANDS OF PROCESSOR TO BE INTEGRATED INTO ONE CLUSTER.  FLEXIBILITY:- GRID COMPUTING PROVI-DES COMPUTING POWER WHERE IT IS NEEDED MOST HELPING TO BETTER MEET DYNAMI- CALLY CHANGING WORK LOAD.
  • 10.  GRID COMPUTING INTRODUCE A NEW CONCEPT TO “IT” INFRASTRUCTURES BECAUSE IT SUPPORT DISTRIBUTED COMPUTING OVER A NETWORK OF HETEROGENEOUS RESOURCES AND IS ENABLED BY OPEN STANDARDS.