A Replica Selection Strategy On Ant-algorithm in Data-intensive Applications

Authors

  • Jinxian Lin
  • Ling Yang
  • Yuying Zheng

DOI:

https://doi.org/10.3991/ijoe.v9iS6.2799

Abstract


In data-intensive applications, multiple copies of the same data were created to improve reliability and reduce the bandwidth consumption. Replica selection is the crucial factor in accessing data quickly and effectively. It affects task scheduling, thereby affecting the efficiency and service quality of the application. Within this paper, a modified replica selection strategy based on ant-algorithm in data-intensive grid is proposed. The strategy is implemented and compared with other file replica selection algorithms on simulator OptorSim. The experiments results show that the strategy discussed in this thesis has certain advantages in balancing the load of sites and reducing the mean job time.

Downloads

Published

2013-06-26

How to Cite

Lin, J., Yang, L., & Zheng, Y. (2013). A Replica Selection Strategy On Ant-algorithm in Data-intensive Applications. International Journal of Online and Biomedical Engineering (iJOE), 9(S6), pp. 38–41. https://doi.org/10.3991/ijoe.v9iS6.2799

Issue

Section

Special Focus Papers