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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