Research into a resource directory service based on Grid RLS

  • Authors:

  • Wanlin Gao;Bangjie Yang;Kemin Yang;Lina Yu;Jianqin Wang;Qing Wang;Jianing Zhao

  • Affiliations:

  • College of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, PR China;College of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, PR China;College of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, PR China;College of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, PR China;College of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, PR China;College of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, PR China;College of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, PR China

  • Venue:
  • Mathematical and Computer Modelling: An International Journal
  • Year:
  • 2010

Quantified Score

Hi-index 0.98

Visualization

Abstract

At present, massive amounts of data are distributed across different institutions, departments and scientific research institutes, and even at one site can be stored in heterogeneous storage systems. Therefore, it is hard to get the desired information from the massive data resource, which leads to the requirement of data sharing. In an effort to solve this problem, this paper studies Grid technology and RLS, for sharing remote sensing data. Furthermore, a resource directory service has been designed and implemented by using RLS in the Grid environment.