Grid computing

1,639 views

Published on

This presentation covers all the aspects of Grid computing

Published in: Technology
0 Comments
2 Likes
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total views
1,639
On SlideShare
0
From Embeds
0
Number of Embeds
1
Actions
Shares
0
Downloads
178
Comments
0
Likes
2
Embeds 0
No embeds

No notes for slide

Grid computing

  1. 1. GRID COMPUTINGGRID COMPUTING VIPUL GUPTA IT – 4th YEAR
  2. 2. • What is Grid Computing? • Cousins of grid computing. • Methods of grid computing. • Who Needs It? • Grid Users • Companies involved in grid computing. • Limitation of grid computing • What’s Next ??? • Conclusion OUTLINE
  3. 3. What is grid computing?What is grid computing? • Grid computing involves connecting geographically remote computers into a single network to create a virtual supercomputer by combining the computational power of all computers on grid.
  4. 4. • A network of geographically distributed resources including computers, peripherals, switches, instruments, and data. • Each user should have a single login account to access all resources. • Resources may be owned by diverse organizations
  5. 5. 55 The power Grid paradigm Electric Power Grid System coal wind hydroelectric nuclear Users can access electrical powerUsers can access electrical power coming from different (and heterogeneous) sourcescoming from different (and heterogeneous) sources
  6. 6. 66 The computing Grid approach Computing Grid System Users can access storage and computing resourcesUsers can access storage and computing resources coming from different (and heterogeneous) sourcescoming from different (and heterogeneous) sources The resources shared within the Grid can be physical objects (CPUs, storage devices) or logical resources (computing queues, distributed file systems)
  7. 7. Fourth EELA Workshop,Fourth EELA Workshop, Bogota, 05.03.2007Bogota, 05.03.2007 77 The Grid Metaphor G R I D M I D D L E W A R E Visualising Workstation Mobile Access Supercomputer, PC-Cluster Storage, Data from Sensors and instruments
  8. 8. Cousins of Grid ComputingCousins of Grid Computing  Distributed Computing  Peer-to-Peer Computing etc.  Distributed Computing Distributed computing is most often concerned with distributing the load of a program across two or more processes
  9. 9. PEER2PEER ComputingPEER2PEER Computing • Sharing of computer resources and services by direct exchange between systems. • Computers can act as clients or servers depending on what role is most efficient for the network.
  10. 10. 1010 Linux TCP/IP Bluetooth HTTP TCP/IP TCP/IP XP A P2PA P2P NetworkNetwork
  11. 11. Methods of Grid ComputingMethods of Grid Computing • Distributed Supercomputing • High-Throughput Computing • On-Demand Computing • Data-Intensive Computing • Collaborative Computing
  12. 12. Who Needs Grid Computing?Who Needs Grid Computing? • A chemist may utilize hundreds of processors to screen thousands of compounds per hour. • Teams of engineers worldwide pool resources to analyze terabytes of structural data. • Meteorologists seek to visualize and analyze data of climate with enormous computational demands.
  13. 13. Grid UsersGrid Users • Grid developers • Tool developers • Application developers • End Users • System Administrators
  14. 14. Grid DevelopersGrid Developers • Very small group. • Implementers of a grid “protocol” who provides the basic services required to construct a grid.
  15. 15. Tool DevelopersTool Developers • Implement the programming models used by application developers. • Implement basic services similar to conventional computing services: – User authentication/authorization – Process management – Data access and communication
  16. 16. Application DevelopersApplication Developers • Construct grid-enabled applications for end-users who should be able to use these applications without concern for the underlying grid. • Provide programming models that are appropriate for grid environments and services that programmers can rely on when developing (higher-level) applications.
  17. 17. System AdministratorsSystem Administrators • Balance local and global concerns. • Manage grid components and infrastructure. • Some tasks still not well delineated due to the high degree of sharing required.
  18. 18. SoftwareSoftware infrastructureinfrastructure • Globus • Condor • NetSolve
  19. 19. 1919 Companies involved in GridCompanies involved in Grid ComputingComputing • Avaki • Axceleon • CapCal • Centrata • DataSynapse • Distributed Science • Elepar • Entropia.com • Grid Frastructure • GridSystems • Groove Networks • IBM • Intel  Powerllel  ProcessTree  Sharman Networks Kazza  Sun Gridware  Sysnet Solutions  Tsunami Research  Ubero  United Devices  Veritas  Xcomp  Jivalti  Mithral  Mind Electric  Mojo Nation  NewsToYou.com  NICE, Italy  Noemix, Inc.  Oracle  Parabon  Platform Computing  Popular Power Source: http://www.gridcomputing.com/
  20. 20. Limitations of Grid ComputingLimitations of Grid Computing • Efforts are being made to standardize protocols. • Uses a command-line interface. • Requires programming in a language and using a host of libraries for interacting with Open Grid Services Infrastructure. • Our hope is to create an interface to Grid computing that accomplishes what Internet browsers (Netscape and Internet Explorer) did to open up the WWW
  21. 21. What’s Next?What’s Next? • More “filters” to transform data need to be developed and tested • Fancier graphics may be added to the GUIs • Extend Grid to include more software applications • Extend Grid services to other disciplines • Include industry and businesses as users and developers
  22. 22. CONCLUSIONCONCLUSION • Grid Computing involves cost savings, speed of computation, and agility. • The grid adjusts to accommodate the fluctuating data volumes that are a typical in the seasonal business.
  23. 23. THANK YOU….THANK YOU….

×