A methodology for high availability of data for business continuity planning / disaster recovery in a grid using replication in a distributed database
A methodology for high availability of data for business continuity planning / disaster recovery in a grid using replication in a distributed database
| dc.contributor.author | Chidambaram, J. | |
| dc.contributor.author | Prabhu, C. S.R. | |
| dc.contributor.author | Rao, P. A.Narasimha | |
| dc.contributor.author | Wankar, Rajeev | |
| dc.contributor.author | Aneesh, C. Sreevallabh | |
| dc.contributor.author | Agarwal, Arun | |
| dc.date.accessioned | 2022-03-27T05:52:26Z | |
| dc.date.available | 2022-03-27T05:52:26Z | |
| dc.date.issued | 2008-12-01 | |
| dc.description.abstract | High Availability systems ensure nonstop service delivery despite natural calamities or any other disruptions, whatsoever. In a grid, High Availability can be achieved by offering services of a failed node from any other live node, if redundant storage of data and software of the failed node is made available on that live node. During replication of data in a grid for high availability, the techniques used in distributed databases can be exploited. Data replication can be achieved better by efficient data distribution across the various nodes in the grid. In this paper, a methodology for High Availability of data for Business Continuity Planning/Disaster Recovery (BCP/DR) in a grid environment is proposed, using some of the features of distributed query processing. With this approach OGSA-DQP (Open Grid Services Architecture -Distributed Query Processing) standard can be extended to OGSAHA for high availability. | |
| dc.identifier.citation | IEEE Region 10 Annual International Conference, Proceedings/TENCON | |
| dc.identifier.uri | 10.1109/TENCON.2008.4766862 | |
| dc.identifier.uri | http://ieeexplore.ieee.org/document/4766862/ | |
| dc.identifier.uri | https://dspace.uohyd.ac.in/handle/1/8525 | |
| dc.subject | BCP/DR | |
| dc.subject | HA | |
| dc.subject | OGSA-DQP | |
| dc.title | A methodology for high availability of data for business continuity planning / disaster recovery in a grid using replication in a distributed database | |
| dc.type | Conference Proceeding. Conference Paper | |
| dspace.entity.type |
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