Balanced QoS Replica Selection Strategy to Enhance Data Grid
Ayman Jaradat, Anang Hudaya, Muhamad Amin, Mohamed Nordin Zakaria, Bandar Seri Iskandar · 2011
Data grids provide groundwork for huge, data-intensive applications that produce enormous data. Data replication increases the availability and reliability of data by providing identical copies of the replicated files distributed at grid sites across the world. Typically these data grid sites vary in their capabilities and their abilities to provide different levels of QoS. Replica selection in data grids remains a significant challenge and requires more attention because the current algorithms do not offer balanced QoS levels and the mechanism of rating QoS parameters. In this paper, we proposed a new replica selection strategy Known as Balanced QoS Replica Selection Strategy (BQSS), which based on a sound mathematical model and supporting metric to measure balanced QoS time, availability and security (BTAS). Computer simulation performance results demonstrate that the BQSS performs best when compared to the competitor's D-system.