Implementation of Sub-Grid-Federation Model for Performance Improvement in Federated Data Grid
In this work, a new model for federation data grid system called Sub-Grid-Federation was designed to improve access latency by accessing data from the nearest possible sites. The strategy in optimising data access was based on the process of searching into the area identified as ‘Network Core Area’ (NCA). The performance of access latency in Sub-Grid-Federation was tested based on the mathematical proving and simulated using OptorSim simulator. Four case studies were carried out and tested in Optimal Downloading Replication Strategy (ODRS) and the Sub-Grid-Federation. The results show that Sub-Grid-Federation is 20% better in terms of access latency and 21% better in terms of reducing remotes sites access compared to ODRS. The results indicate that the Sub-Grid-Federation is a better alternative for the implementation of collaboration and data sharing in data grid system.
Keywords: Data grid, replication, scheduling, access latency
Abawajy, J.H. (2004). Placement of File Replicas in Data Grid environments. Heidelberg: Springer.
Antunes, G. & Pina, H. 2011. Using Grids Federations for Digital Preservation. In the 8th International Conference on Preservation of Digital Objects (iPRES 2011). November 1 - 4, 2011, Singapore.
Chang, R. S., Chang, J. S., & Lin, S. Y. (2007). Job scheduling and data replication on data grids. Future Generation Computer Systems, 23(7), 846-860.
Foster, I., Kesselman, C., & Tuecke, S. (2001). The anatomy of the grid: Enabling scalable virtual organizations. International Journal of High Performance Computing Applications, 15(3), 200–222.
Hamrouni, T., Hamdeni, C., & Ben Charrada, F. (2015). Impact of the distribution quality of file replicas on replication strategies. Journal of Network and Computer Applications, 56, 60–76
Hey, T., & Trefethen, A. E. (2002). The UK e-Science Core Programme and the Grid. Journal of Future Generation Computer Systems, 18(8), 1017–1031.
Jiang, J., & Yang, G. (2007). An Optimal Replication Strategy for data grid system. Front Computer Science China, 1(3), 338-348.
Katz, D. S., & Zhang, Z. (2014). Special issue on eScience infrastructure and applications. Future Generation Computer Systems, 36, 335-337.
Khanli, L. M., Isazadeh, A., & Shishavanc, T. N. (2011). PHFS: A dynamic replication method, to decrease access latency in multi-tier data grid. Future Generation Computer Systems, 27(3), pp. 233-243.
Lee, M. C., Leu, F. Y., & Chen, Y-P. (2012). PFRF: An adaptive data replication algorithm based on star-topology data grids. Future Generation Computer Systems, 28(7), 1045-1057.
Mansouri, N., Dastghaibyfard, G.H., & Horri, A. (2011). A novel job scheduling algorithm for improving data grid’s performance. 2011, P2P, Parallel, Grid, Cloud, and Internet Computing. International Conference on, P2P, Parallel, Grid, Cloud, and Internet Computing, International Conference on 2011, pp. 142-147, doi:10.1109/3PGCIC.2011.30
Mckinley, K.S., Carr, S., & Tseng, C-W. (1996). Improving data locality with loop transformations. In ACM Trans. Program. Lang. Syst. Vol. 18. (pp. 424–453) New York: ACM Press.
Park, S-M., Kim, J-H, Go, Y-B., & Yoon, W-S. (2003). Dynamic grid replication strategy based on internet hierarchy, in: International Workshop on Grid and Cooperative Computing, in: Lecture Notes in Computer Science, Vol. 3033, pp. 838-846.
Raganathan, K., Lamnitchi, A., & Foster, I (2002). Improving Data Availability through Model-Driven Replication for Large Peer-to-Peer Communities. In: Proceedings of Global and Peer-to-Peer Computing on Large-Scale Distributed Systems Workshop, Berlin, Germany.
Ranganathan, K., & Foster, I. (2001). Design and evaluation of dynamic replication strategies for a high-performance data grid. In: International conference on computing in high energy and nuclear physics. Beijing, China, 2001.
Sashi, K., & Thanamini, A. S. (2010). Dynamic replication in a data grid using a Modified BHR Region Based Algorithm. Future Generation Computer Systems, 27(2011), 202-210.
Venugopal, S., Buyya, R., & Ramamohanarao, K. (2009). A Taxonomy of Data Grids for Distributed Data Sharing, Management, and Processing. ACM Computing Surveys, 38(1), 1-53.