The presentation aims to provide a brief introduction to grid computing.

1. INTRODUCTION TO GRID COMPUTING -BY ABHIJEET NAWAL B.E.(Honors), CSE MBM ENGG. COLLEGE (www.mbm.ac.in)

3. Such problems thus need computing resources (say processing power of the order of teraflops, secure dependable networks and storage) often for which even a supercomputer does not suffice.

6. Grid resources may be owned and managed by multiple organizations often heterogeneous (platforms, operating systems) and geographically dispersed in nature.

7. Computational Grid: Main computing resource shared – Processing Power.

8. Data Grid: Main computing resource shared – Storage. Provides fast and secure access to distributed, heterogeneous pools of data.

11. Publication and discovery of data sets using global logical name.

12. Security- access authorization and authentication.

13. Discovery and Unified access and view of Remote Resources taking into account their local access policies.

14. Mapping and Scheduling of Jobs.

15. Movement of Code/Data between the user desktop machines and distributed resources.

16. Enforcement of Quality of service requirements.

17. Metering and Accounting of resource usage.

19. Dynamically created to solve a specific problem

20. On-demand resource allocation and provisioning for solving the problemNetwork Bandwith Blades … resources User Financial Expert Service Provider Dynamic Virtual Organization B formed to solve a financial modeling Financial Modeling Problem B Financial Modeling Database System

22. A virtual organization (VO) is a dynamic group of individuals, groups, or organizations who define the conditions and rules (business objectives and policies) for sharing resources.

23. Although the resources in a grid might be in separate administrative domains, they are made available as virtual local resources to any node on the grid.

24. Dynamically collect resources from different providers based upon the users’ needs or urgency and the priority of the problem.

25. Identify problems, linking them to required resources or service providers, and automatically resolve them.

27. GRID COMPUTING OPERTIONAL VIEW: END USER APPLICATION INTERFACE 1 GRID MARKET DIRECTORY 4 2 Results and Cost Info. 6. Jobs GRID RESOURCE BROKER RESOURCES 7. Results 3 5 GRID INFORMATION SERVICE ACCOUNTING AND METERING SYSTEM

29. 2. Submission of the user’s Quality of Service (QoS) and Computing needs to Grid Resource Broker (GRB)

30. 3. GRB discovers resources and characteristics using Grid Information Service (GIS).

31. 4. GRB identifies resource prices from Grid Market Directory (GMD)

32. 5. GRB ensures user’s credit and authorization privileges.

33. 6. GRB’S scheduler maps and deploys data analysis jobs to QoS meeting resources.

35. Exploiting under utilized resources

36. Access to additional resources

37. Resource Balancing

38. Parallel CPU capacity

39. Scalability

40. Socially:

41. Resources can be harnessed for the good of society. For eg grids for drug discovery.

42. Commercially:

43. An opportunity to create a large processing center and sell its capabilities to customers.

45. GRID MIDDLEWARE RESEARCH

46. STANDARIZATION -to allow interoperability between different products and implementations.Open Grid Service Infrastructure (OGSI) standard . WSRF (Web Services Resource Framework) standard that enables Web services integration within Grid Architecture. This allows Grid Developers to take advantage of standard message formats and communication mechanisms such as HTTP and XML for communicating between heterogeneous components and architectures.

48. “A gentle introduction to grid computing and technologies’- RajkumarBuyya and SrikumarVenugopal.

49. “Grid computing- a brief technology analysis”- Roger Smith.