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GRID COMPUTING




PRESENTED BY : Richa Chaudhary
AGENDA
What is Grid Computing ?
 How Grid Computing Works ?
 Reasons for using Grid
 Computing ?
 Grid Architecture
 Grid computing behavior
 Advantages and Disadvantages
WHAT IS A GRID ?
      Grid is a shared collection of reliable
      (cluster-tightly coupled) &
      unreliable resources (loosely
      coupled machines) and interactively
      communicating researchers of
      different virtual organisations
      (doctors, biologists, physicists).
      Grid System controls and
      coordinates the integrity of the Grid
      by balancing the usage of reliable
      and unreliable resources among its
      participants providing better quality
      of service.
Grid computing is a method of harnessing the power of many computers in a
network to solve problems requiring a large number of processing cycles and
involving huge amounts of data. Most organizations today deploy firewalls around
their computer networks to protect their sensitive proprietary data. But the central
idea of grid computing-to enable resource sharing makes mechanisms such as
firewalls difficult to use
How Grid computing works ?
               In general, a grid computing
               system requires:
                At least one computer,
                  usually a server, which
                  handles all the
                  administrative duties for
                  the System
                A network of computers
                  running special grid
                  computing network
                  software.
                A collection of computer
                  software called
                  middleware
Grid Architecture
Working of layers
 Fabric. The lowest layer job is used to make a common interface on all
  possible kinds of resources available. Access by higher layers is granted via
  standardized processes.
 Resource and connectivity protocols: The connectivity layer defines the
  basic communication- and authentication protocols which are needed by the
  grid. While the communication protocols allow the exchange of files
  between different resources connected by the first layer, the authentication
  protocols allow to communicate confidentially and to ensure the identity of
  the two partners.
 Collective services: The purpose of this layer is the coordination of multiple
  resources. Access to these resources doesn’t happen directly but merely via
  the underlying protocols and interfaces.
 User applications: To this layer belong all those applications which are
  operating in the environment of a virtual organization. Jobs of the lower
  layers get called by applications and can use resources transparently.
Difference between grid &
  distributed computing
Advantages of Grid Computing

   Business benefits                 Technology benefits
 Improve efficiency by            Federate data and distribute it globally.
  improving computational         Support large multi-disciplinary
  capabilities                    collaboration across organizations and
 Bring together not only IT      business.
  resources but also people.       Enable recovery and failure
 Create flexible, resilient       Ability to run large-scale applications
  operational infrastructures         comprising thousands of computes, for
 Address rapid fluctuations in       wide range of applications.
  customer demands.                Reduces signal latency – the delay that
                                      builds up as data are transmitted over
                                      the Internet.
Disadvantages of Grid Computing
  Resource sharing is further complicated when grid is introduced
  as a solution for utility computing where commercial applications
  and resources become available as shareable and on demand
  resources.
 The concept of commercial on-demand shareable adds new, more
  difficult challenges to the already complicated grid problem list
  including service level features, accounting, usage metering,
  flexible pricing, federated security, scalability, and open-ended
  integration.
 Some applications may need to be tweaked to take full advantage
  of the new model.
 Licensing across many servers may make it prohibitive for some
  apps. Vendors are starting to be more flexible with environment
  like this.
Applications
•   Distributed supercomputing
•   High-throughput computing
•   On-demand computing
•   Data-intensive computing
•   Collaborative computing
THANK YOU !!

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Grid computing ppt

  • 1. GRID COMPUTING PRESENTED BY : Richa Chaudhary
  • 2. AGENDA What is Grid Computing ?  How Grid Computing Works ?  Reasons for using Grid Computing ?  Grid Architecture  Grid computing behavior  Advantages and Disadvantages
  • 3. WHAT IS A GRID ? Grid is a shared collection of reliable (cluster-tightly coupled) & unreliable resources (loosely coupled machines) and interactively communicating researchers of different virtual organisations (doctors, biologists, physicists). Grid System controls and coordinates the integrity of the Grid by balancing the usage of reliable and unreliable resources among its participants providing better quality of service.
  • 4. Grid computing is a method of harnessing the power of many computers in a network to solve problems requiring a large number of processing cycles and involving huge amounts of data. Most organizations today deploy firewalls around their computer networks to protect their sensitive proprietary data. But the central idea of grid computing-to enable resource sharing makes mechanisms such as firewalls difficult to use
  • 5. How Grid computing works ? In general, a grid computing system requires:  At least one computer, usually a server, which handles all the administrative duties for the System  A network of computers running special grid computing network software.  A collection of computer software called middleware
  • 7. Working of layers  Fabric. The lowest layer job is used to make a common interface on all possible kinds of resources available. Access by higher layers is granted via standardized processes.  Resource and connectivity protocols: The connectivity layer defines the basic communication- and authentication protocols which are needed by the grid. While the communication protocols allow the exchange of files between different resources connected by the first layer, the authentication protocols allow to communicate confidentially and to ensure the identity of the two partners.  Collective services: The purpose of this layer is the coordination of multiple resources. Access to these resources doesn’t happen directly but merely via the underlying protocols and interfaces.  User applications: To this layer belong all those applications which are operating in the environment of a virtual organization. Jobs of the lower layers get called by applications and can use resources transparently.
  • 8. Difference between grid & distributed computing
  • 9. Advantages of Grid Computing Business benefits Technology benefits  Improve efficiency by  Federate data and distribute it globally. improving computational Support large multi-disciplinary capabilities collaboration across organizations and  Bring together not only IT business. resources but also people.  Enable recovery and failure  Create flexible, resilient  Ability to run large-scale applications operational infrastructures comprising thousands of computes, for  Address rapid fluctuations in wide range of applications. customer demands.  Reduces signal latency – the delay that builds up as data are transmitted over the Internet.
  • 10. Disadvantages of Grid Computing  Resource sharing is further complicated when grid is introduced as a solution for utility computing where commercial applications and resources become available as shareable and on demand resources.  The concept of commercial on-demand shareable adds new, more difficult challenges to the already complicated grid problem list including service level features, accounting, usage metering, flexible pricing, federated security, scalability, and open-ended integration.  Some applications may need to be tweaked to take full advantage of the new model.  Licensing across many servers may make it prohibitive for some apps. Vendors are starting to be more flexible with environment like this.
  • 11. Applications • Distributed supercomputing • High-throughput computing • On-demand computing • Data-intensive computing • Collaborative computing

Editor's Notes

  1.  The grid can be thought of as a distributed system with non-interactive workloads that involve a large number of files.
  2. Now the question arises,what is grid computing,as u see in this figure Grid computing (or the use of a computational grid) is applying the resources of many computers in a network to a single problem at the same time - usually to a scientific or technical problem that requires a great number of computer processing cycles or access to large amounts of data.
  3. Now its vry imp 2 knwhw grid computing works At least one computer, usually a server, which handles all the administrative duties for the system. Many people refer to this kind of computer as a control node. Other application and Web servers (both physical and virtual) provide specific services to the system.A network of computers running special grid computing network software. These computers act both as a point of interface for the user and as the resources the system will tap into for different applications. Grid computing systems can either include several computers of the same make running on the same operating system (called a homogeneous system) or a hodgepodge of different computers running on every operating system imaginable (a heterogeneous system). The network can be anything from a hardwired system where every computer connects to the system with physical wires to an open system where computers connect with each other over the Internet.A collection of computer software called middleware. The purpose of middleware is to allow different computers to run a process or application across the entire network of machines. Middleware is the workhorse of the grid computing system. Without it, communication across the system would be impossible. Like software in general, there's no single format for middleware.
  4. Fabric layer:All resources on which such a standardized interface is applicable, can be integrated in the grid concept. This contains computers, storage systems, networks or sensors. Resouce & conn layer :This contains initiation, observation, control, clearance and negotiation of security parameters. Also processor resources get assigned, reserved, observed and controlled.Collective :The jobs of this layer contain among others the creation of a directory service, they supply monitoring, diagnostic and file replication services. Furthermore grid-capable development systems are provided to be able to use popular programming models also in a grid environment.  
  5. Distributed computing refers to the means by which a single computer program runs in more than one computer at the same time. In particular, the different elements and objects of a program are being run or processed using different computer processors. Distributed computing is similar to parallel computing and grid computing.Grid computing, on the other hand, refers to a more dedicated distributed computing setup – one whose computer ‘members’ are especially dedicated to the program being processed.
  6. Grid computing has been around for over 12 years now and its advantages are many
  7. Grid computing has been around for over 12 years now and its advantages are many
  8. One of the most obvious applications is in medicine. Imagine if your doctor had access to a grid that could handle administrative databases, medical image archives and specialized instruments such as MRI machines, CAT scanners and cardioangiography devices... This could enhance diagnosis procedures, speed analysis of complex medical images, and enable life-critical applications such as telerobotic surgery and remote cardiac monitoring.
  9. One of the most obvious applications is in medicine. Imagine if your doctor had access to a grid that could handle administrative databases, medical image archives and specialized instruments such as MRI machines, CAT scanners and cardioangiography devices... This could enhance diagnosis procedures, speed analysis of complex medical images, and enable life-critical applications such as telerobotic surgery and remote cardiac monitoring.