A DATA GRID REPLICA MANAGEMENT SYSTEM WITH LOCAL AND GLOBAL MULTI-OBJECTIVE OPTIMIZATION
| dc.contributor.author | ALMISTARIHI, HUSNI HAMAD E | |
| dc.date.accessioned | 2015-12-03T06:48:36Z | |
| dc.date.available | 2015-12-03T06:48:36Z | |
| dc.date.issued | 2009-05 | |
| dc.description.abstract | As the scale and complexity of the scientific collaboration experiments grows, the demand to an efficient and cost-effective data files sharing for solving large scale problems is increased. Yet, providing efficient access to huge and widely distributed data is still a considerable challenge and becoming a big problem in the domain. One of the main solutions to the problem is that of data replication, which creates multiple identical copies (replicas) of the same data file at different sites on the grid, and thus the data availability and data reliability are enhanced. However, data replication may cause increasing cost of the storage space. Thus, a good balancing of the number of replicas and their appropriate locations in any replication system is required. However, the current replication systems in grid environment are still few and lack of some important issues such as Quality of Service (QoS), and thus they require more optimization techniques. In this thesis, we address the above problem by achieving two objectives namely, the Local-Objective and the Global-Objective. The Local-Objective is a self-interest objective for grid users' that aims at selecting the best required replica location from among many replicas in minimum response time and high level of QoS. On the other hand, the Global-Objective is a commonweal objective that aims at utilizing resources xi in steady state of the system m order to reduce storage space cost and network bandwidth consumption. Since the local objective has conflicting criteria measured by heterogeneous values, the Analytical Hierarchy Process (AHP) model was used to solve the local objective problem. Moreover, the local and global objectives may contradict to each other. Thus, we proposed a replica management system that deploys: replication policy, replica placement policy, replica replacement policy, and replica selection algorithm, in order to enhance the replicas management in data grid. The advantages of the proposed system are investigated in a simulation tool. The evaluation results demonstrated that our system outperformed other existing systems in terms of: reducing the network bandwidth consumption by 4.43%, reducing the storage space by 0.03 %, reducing the job turnaround time by 10.30%, increasing fairness by 77.5%, and increasing the level of QoS by 13 %. Therefore, we conclude that our proposed replication system can be implemented in real data grid by providing the users' jobs with the required replicas in reasonable time and quality. Grid users whom require data files and grid administrators who manage grid resources can benefit from our system. | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/1330 | |
| dc.subject | MANAGEMENT SYSTEM | en_US |
| dc.subject | GLOBAL | en_US |
| dc.title | A DATA GRID REPLICA MANAGEMENT SYSTEM WITH LOCAL AND GLOBAL MULTI-OBJECTIVE OPTIMIZATION | en_US |
| dc.type | Thesis | en_US |
Files
License bundle
1 - 1 of 1
Loading...
- Name:
- license.txt
- Size:
- 1.71 KB
- Format:
- Item-specific license agreed upon to submission
- Description: