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GRID COMPUTING: REPLICATION CONCEPTS

GRID COMPUTING: REPLICATION CONCEPTS. Presented By: Payal Patel. 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.

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GRID COMPUTING: REPLICATION CONCEPTS

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  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 in grid computing • 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

  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/ • Globus project. http://www.globus.org • Grid 2004: from rocket science to business service

  15. Thank you

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