A Hybrid Approach For Fault Tolerance In Datagrid
|© 2020 by IJCTT Journal|
|Year of Publication : 2020|
|Authors : Senhadji sarra, MEGAIZ Samia, SADOK Riad Mustapha|
|DOI : 10.14445/22312803/IJCTT-V68I11P107|
How to Cite?
Senhadji sarra, MEGAIZ Samia, SADOK Riad Mustapha, "A Hybrid Approach For Fault Tolerance In Datagrid," International Journal of Computer Trends and Technology, vol. 68, no. 11, pp. 53-58, 2020. Crossref, 10.14445/22312803/IJCTT-V68I11P107
In recent years, we observe a considerable growth of data that needs to be stored, analyzed, and exploited. In response to these needs, grid systems appear to offer large-scale networks and geographic sharing resources around the world. However, grids are extremely dynamic where nodes are heterogeneous and volatile which increases the probability of failure. Two main solutions handle this problem: masking and no masking technique. For the masking one, the fault and its resolution are hidden from the client and the system still being operational. Contrarily to the no masking solution, the fault can stop the execution for a while until the fault is resolved. In this paper, we propose a hybrid solution that combines two fault-tolerance methods, one masking and the other non-masking using respectively recovery and replication techniques.
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fault tolerance, recovery, replication, Datagrid