SDS: A Scalable Data Services System in Data Grid

  •  Xiaoning Peng    
  •  Bin Huang    
  •  Ping Luo    


It is very complex and of low efficiency for grid users to access heterogeneous diverse data resources distributed over the whole wide area network. Data Grid has denoted a network of storage resources, from archival systems, to caches, to databases, that are linked across a distributed network. And it should provide integrated, scalable data services which implement more wide range of transparent access to data resources in Data Grid, such as location transparency, time transparency. In this paper, we describe a SDS system which can implement integrated, scalable data services. We have implemented one of the important building blocks for SDS is the server called DSB which can provide integrated data services. The DSB bases on cluster and agent technologies. Agent-based DSB can cleverly prefetch required data, replicate them among DSBs. Each DSB based on cluster implements a single entry and a virtual integrated storage system in a data domain. As far as whole SDS, Multiple DSBs are formed cluster data services, which are scalable, and provide a single entry for all data grid users, and provide a virtual integrated mass storage system, and hide distributed heterogeneous low-level data resources, and insure load balance of each server. SDS architecture supporting these various scenarios, are also described.

This work is licensed under a Creative Commons Attribution 4.0 License.
  • ISSN(Print): 1913-8989
  • ISSN(Online): 1913-8997
  • Started: 2008
  • Frequency: quarterly

Journal Metrics

WJCI (2020): 0.439

Impact Factor 2020 (by WJCI): 0.247

Google Scholar Citations (March 2022): 6907

Google-based Impact Factor (2021): 0.68

h-index (December 2021): 37

i10-index (December 2021): 172

(Click Here to Learn More)