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Grid computing 2007

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Grid computing 2007

  1. 1. Prepared By :Bhavin TankDDIT, Nadiad
  2. 2. Contents What is Grid Computing? Why need grid computing? Types of grid Characteristics of Grid Benefits Applications Advantage & Disadvantages 2 tank.infotech@gmail.com
  3. 3. What is Grid Computing? Allows sharing and coordinated use of diverse resources in dynamic, distributed “virtual organizations”. 3 tank.infotech@gmail.com
  4. 4. What is a Grid? Grid Computing is a technique in which the idle systems in the Network and their “ wasted “ CPU cycles can be efficiently used by uniting pools of servers, storage systems and networks into a single large virtual system for resource sharing dynamically at runtime. These systems can be distributed across the globe; theyre heterogeneous (some PCs, some servers, maybe mainframes and supercomputers); somewhat autonomous (a Grid can potentially access resources in different organizations). Grid computing is form of networking unlike conventional network that focus on communications among devices. 4 tank.infotech@gmail.com
  5. 5. What is the Grid? Jane User Internet Certificate Grid Computing Resource Certificate Internet Gatekeeper 5 tank.infotech@gmail.com
  6. 6. Why need Grid Computing? Exploiting under utilized resources Parallel CPU capacity Virtual resources and virtual organizations for collaboration Access to additional resources Many large-scale problems cannot be solved by a single computer Globally distributed data and resources 6 tank.infotech@gmail.com
  7. 7. Types of Grids Computational Grid: A computational grid is focused on setting aside resources specifically for computing power. In this type of grid, most of the machines are high- performance servers. Scavenging grid: A scavenging grid is most commonly used with large numbers of desktop machines. Machines are scavenged for available CPU cycles and other resources. Owners of the desktop machines are usually given control over when their resources are available to participate in the grid. Data Grid: A data grid is responsible for housing and providing access to data across multiple organizations. Users are not concerned with where this data is located as long as they have access to the data. 7 tank.infotech@gmail.com
  8. 8. Grid Architecture 8 tank.infotech@gmail.com
  9. 9. Characteristics of Grids Grids coordinate resources that are not subject to centralized control. Grids use standard, open, general-purpose protocols and interfaces. Grids deliver high qualities of service. 9 tank.infotech@gmail.com
  10. 10. Grid User Roles (A User’s Perspective)  Enrolling and installing grid software  Logging onto the grid  Queries and submitting jobs  Data configuration  Monitoring progress and recovery  Reserving resources 10 tank.infotech@gmail.com
  11. 11. Grid User Roles (An Administrator’s Perspective) Planning Installation Managing enrollment of donors and users Certificate authority Resource management Data sharing 11 tank.infotech@gmail.com
  12. 12. Issues Security:  Security issues include secure authentication, access rights and privileges. Reliable and secure communications, perhaps with encryption, are also a requirement.  Maintaining confidentiality and privacy will also be issues if you are transferring personal data. Performance:  For a grid performance is the main key is to deliver nontrivial qualities of service “. Some grid services might fall short because the scattering and gathering steps can incur significant delay.  Grid performances include resource availability and reliability, utilization and load, response time, delay and delay variation. Data Integrity is another consideration. 12 tank.infotech@gmail.com
  13. 13. Benefits(1)BUSSINESS BENEFITS:  Can help improve productivity and collaboration.  Bring together not only IT resources but also people.  Create flexible, resilient operational infrastructures.(2)INFRASTRUCTURE OPTIMIZATION:  Consolidate workload management.  Reduce cycle times. 13 tank.infotech@gmail.com
  14. 14. Benefits…(3)INCREASE ACCESS TO DATA AND COLLABORATION:  Federate data and distribute it globally.  Support large multi-disciplinary collaboration..  Enable collaboration across organizations and among businesses.(4)RESILIENT, HIGHLY AVAILABLE INFRASTRUCTURE: Balance workloads. Foster business community Enable recovery and failure. 14 tank.infotech@gmail.com
  15. 15.  ADVANTAGES:  Can solve larger, more complex problems in a shorter time  Easier to collaborate with other organizations  Make better use of existing hardware DISADVANTAGES:  Grid software and standards are still evolving.  Learning curve to get started.  Non-interactive job submission. 15 tank.infotech@gmail.com
  16. 16. Characteristics of Grid Applications Data acquired by scientific instruments. Data are stored in archives on separate, perhaps geographically- separated sites. Data are managed by teams belonging to different organizations. Large quantities of data (tera- or petabytes) are collected. Software used to analyze and summarize the raw data. 16 tank.infotech@gmail.com
  17. 17. Questions……..????? 17 tank.infotech@gmail.com
  18. 18. tank.infotech@gmail.com

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