Hierarchical Data Replication and Service Monitoring Methods in a Scientific Data Grid
In a grid and distributed computing environment, data replication is an effective way to improve data accessibility and data accessing efficiency. It is also significant in developing a real-time service monitoring system for a Chinese Scientific Data Grid to guarantee the system stability and data...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Ubiquity Press
2009-04-01
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| Series: | Data Science Journal |
| Subjects: | |
| Online Access: | http://datascience.codata.org/articles/231 |
| _version_ | 1818837899306598400 |
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| author | Weizhong Lu Yuanchun Zhou Kaichao Wu Baoping Yan |
| author_facet | Weizhong Lu Yuanchun Zhou Kaichao Wu Baoping Yan |
| author_sort | Weizhong Lu |
| collection | DOAJ |
| description | In a grid and distributed computing environment, data replication is an effective way to improve data accessibility and data accessing efficiency. It is also significant in developing a real-time service monitoring system for a Chinese Scientific Data Grid to guarantee the system stability and data availability. Hierarchical data replication and service monitoring methods are proposed in this paper. The hierarchical data replication method divides the network into different domains and replicates data in local domains. The nodes in a local domain are classified into hierarchies to improve data accessibility according to bandwidth and storage memory space. An extensible agent-based prototype of a hierarchical service monitoring system is presented. The status information of services in the Chinese Scientific Data Grid is collected from the grid nodes based on agent technology and then is transformed into real-time operational pictures for management needs. This paper presents frameworks of the hierarchical data replication and service monitoring methods and gives detailed resolutions. Simulation analyses have demonstrated improved data accessing efficiency and verified the effectiveness of the methods at the same time. |
| first_indexed | 2024-12-19T03:29:50Z |
| format | Article |
| id | doaj.art-e8c4a2e3c5e7455fa4234b44582c2293 |
| institution | Directory Open Access Journal |
| issn | 1683-1470 |
| language | English |
| last_indexed | 2024-12-19T03:29:50Z |
| publishDate | 2009-04-01 |
| publisher | Ubiquity Press |
| record_format | Article |
| series | Data Science Journal |
| spelling | doaj.art-e8c4a2e3c5e7455fa4234b44582c22932022-12-21T20:37:31ZengUbiquity PressData Science Journal1683-14702009-04-01811312410.2481/dsj.007-031231Hierarchical Data Replication and Service Monitoring Methods in a Scientific Data GridWeizhong Lu0Yuanchun Zhou1Kaichao Wu2Baoping Yan3Computer Network Information Center, Chinese Academy of Sciences, Beijing, China Graduate University of Chinese Academy of Sciences, Beijing, ChinaComputer Network Information Center, Chinese Academy of Sciences, Beijing, ChinaComputer Network Information Center, Chinese Academy of Sciences, Beijing, ChinaComputer Network Information Center, Chinese Academy of Sciences, Beijing, ChinaIn a grid and distributed computing environment, data replication is an effective way to improve data accessibility and data accessing efficiency. It is also significant in developing a real-time service monitoring system for a Chinese Scientific Data Grid to guarantee the system stability and data availability. Hierarchical data replication and service monitoring methods are proposed in this paper. The hierarchical data replication method divides the network into different domains and replicates data in local domains. The nodes in a local domain are classified into hierarchies to improve data accessibility according to bandwidth and storage memory space. An extensible agent-based prototype of a hierarchical service monitoring system is presented. The status information of services in the Chinese Scientific Data Grid is collected from the grid nodes based on agent technology and then is transformed into real-time operational pictures for management needs. This paper presents frameworks of the hierarchical data replication and service monitoring methods and gives detailed resolutions. Simulation analyses have demonstrated improved data accessing efficiency and verified the effectiveness of the methods at the same time.http://datascience.codata.org/articles/231Data gridHierarchicalData ReplicationService monitoringAgent technology |
| spellingShingle | Weizhong Lu Yuanchun Zhou Kaichao Wu Baoping Yan Hierarchical Data Replication and Service Monitoring Methods in a Scientific Data Grid Data Science Journal Data grid Hierarchical Data Replication Service monitoring Agent technology |
| title | Hierarchical Data Replication and Service Monitoring Methods in a Scientific Data Grid |
| title_full | Hierarchical Data Replication and Service Monitoring Methods in a Scientific Data Grid |
| title_fullStr | Hierarchical Data Replication and Service Monitoring Methods in a Scientific Data Grid |
| title_full_unstemmed | Hierarchical Data Replication and Service Monitoring Methods in a Scientific Data Grid |
| title_short | Hierarchical Data Replication and Service Monitoring Methods in a Scientific Data Grid |
| title_sort | hierarchical data replication and service monitoring methods in a scientific data grid |
| topic | Data grid Hierarchical Data Replication Service monitoring Agent technology |
| url | http://datascience.codata.org/articles/231 |
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