ACM Home Page
Please provide us with feedback. Feedback
HUSt: a heterogeneous unified storage system for GIS grid
Full text HtmlHtml (2 KB)
Source Conference on High Performance Networking and Computing archive
Proceedings of the 2006 ACM/IEEE conference on Supercomputing table of contents
Tampa, Florida
SESSION: Storage challenge table of contents
Article No. 325  
Year of Publication: 2006
ISBN:0-7695-2700-0
Authors
Sponsors
IEEE : Institute of Electrical and Electronics Engineers
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 1,   Downloads (12 Months): 24,   Citation Count: 0
Additional Information:

abstract   index terms   collaborative colleagues  

Tools and Actions: Review this Article  
Save this Article to a Binder    Display Formats: BibTex  EndNote ACM Ref   
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1188455.1188798
What is a DOI?

ABSTRACT

Geographic Information System Grid integrates geographic information systems and Grid technology for data gathering, accessing, transmitting and service, in different I/O patterns, built upon massive storage systems. Existing non-standardized multi-source and multi-scale data lack spatial information sharing either internally or externally between organizations or departments, especially in national or global applications. HUSt is a massive storage system that was built at Wuhan National Laboratory for Optoelectronics, in China. There are heterogeneous storage areas in the system, including Object-based Storage System for the main data storing especially for the data searched frequently, Virtual Interface based Storage System for the data required at high transfer speed, and InfiniBand based SAN for high performance. HUSt is primarily meant for research on the organization and key technologies of storage systems for the next generation Internet. The goal is to unify network storage and construct a peta-byte storage system, which supports GIS Grid and applications.


Collaborative Colleagues:
Lingfang Zeng: colleagues
Ke Zhou: colleagues
Zhan Shi: colleagues
Dan Feng: colleagues
Fang Wang: colleagues
Changsheng Xie: colleagues
Zhitang Li: colleagues
Zhanwu Yu: colleagues
Jianya Gong: colleagues
Qiang Cao: colleagues
Zhongying Niu: colleagues
Lingjun Qin: colleagues
Qun Liu: colleagues
Yao Li: colleagues