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GRID COMPUTING: REPLICATION CONCEPTS Presented By: Payal Patel.

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Presentation on theme: "GRID COMPUTING: REPLICATION CONCEPTS Presented By: Payal Patel."— Presentation transcript:

1 GRID COMPUTING: REPLICATION CONCEPTS Presented By: Payal Patel

2 Outline What is Grid computing? Replication in grid computing Creation of replica in Grid computing  File level replication  Object level replication Selection of replica Deletion of replica Conclusion

3 What is Grid Computing? Aim : share and distribute data, storage and other resources.[1] It provides:  global sharing of distributed resources  non-trivial qualities of service.[2]  businesses can optimize computing and data resources.[2]  reliable and transparent access

4 Grid computing (cont.) Component of Grid computing.[2]  Security  Data Management  Resource Management  Information Services

5 Grid Computing (cont.) Figure from [1]

6  Replication means copies of data in different locations.  Goal :To provide user to access data anywhere if any failure occurs.  Improves data access performance.  Grid computing uses Dynamic replication Replication in grid computing

7 Creation of replica Goal: To achieve  high data availability  Fault tolerance Creation of replica depends on granularities of levels.[5]  File Level  Object level

8 File Level Replica Creation Grid Data Management pilot (GDMP) Used as file replication software system It has three components: [1]  Replica catalog service Three levels of catalog: Collection location Logical file entry  Data mover services  The storage manager service

9 Conti. Figure from [1]

10 Object Level Replication Used when file level replication uses large amount of bandwidth and disk space. Figure from [1]

11 Selection Of Replica Selection criteria:[1] Discovering physical location of a file given a logical file name.  Replica Location Service (RLS) Selecting the best replica from a set of physical replica location.

12 Deletion of Replica Maintain efficient resource utilization Free up unused storage. Uses decentralized replica deletion algorithm Replica deletion agent (RDA) to delete replica.[1]

13 Conclusion Grid computing provides large scale resource sharing and high performance orientation. File level and object level are two types of replica creation I also discussed selection and deletion criteria of replica Latest ongoing research in grid computing: “Grid: The next generation internet”

14 References Fay Hui, Cheryl Kang and Ichitaro Yamazaki. Distributed Data Replication in Grid Computing. IBM grid computing website at http://www-1.ibm.com/grid/ http://www-1.ibm.com/grid/ Globus project. http://www.globus.orghttp://www.globus.org Grid 2004: from rocket science to business service

15 Thank you


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