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Redundant parallel data transfer schemes for the grid environment
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Source ACM International Conference Proceeding Series; Vol. 167 archive
Proceedings of the 2006 Australasian workshops on Grid computing and e-research - Volume 54 table of contents
Hobart, Tasmania, Australia
Pages: 71 - 78  
Year of Publication: 2006
ISBN ~ ISSN:1445-1336 , 1-920-68236-8
Authors
R. S. Bhuvaneswaran  Department of Computer Science and Engineering, Graduate School of Engineering, Nagoya Institute of Technology, Japan
Yoshiaki Katayama  Department of Computer Science and Engineering, Graduate School of Engineering, Nagoya Institute of Technology, Japan
Naohisa Takahashi  Department of Computer Science and Engineering, Graduate School of Engineering, Nagoya Institute of Technology, Japan
Publisher
Australian Computer Society, Inc.  Darlinghurst, Australia, Australia
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ABSTRACT

In this paper, we proposed dynamic co-allocation schemes for parallel data transfer in a grid environment, which copes up with highly inconsistent network performances of the servers. We have developed an algorithm using circular queue, with which, the data transfer tasks are allocated onto the servers in duplication. It is further improved to maintain the ordered delivery of data blocks, to suit such applications, like streaming. The schemes nicely tackle even when the link to servers under consideration is broken or become idle. We used Globus toolkit for our framework and utilized the partial copy feature of GridFTP. We compared our schemes with the existing schemes and the preliminary results show notable improvement in overall completion time of data transfer.


REFERENCES

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1
 
2
Bit Torrent home page, accessed Nov 2005 http://www.bittorent.com/introduction.html
 
3
Chao-Tung Yang, I Hsien Yang, Chun Hsiang Chen (2005), Improve Dynamic Adjustment Mechanism in Co-allocation data Grid Environments, Workshop on Compiler Techniques for High-Performance Computing (CTHPC 05), Taiwan, pp. 189-194.
 
4
 
5
Chervenak A, Foster I, et al (2001), The Data Grid: Towards an Architecture for the Distributed Management and Analysis of Large Scientific Datasets, Journal of Network and Computer Applications, 23:187-200.
 
6
Chun Hsiang Chen, Chao-Tung Yang, Chuan-Lin Lai (2004), Towards an Efficient Replica selection for Data Grid, The First Workshop on Grid Technologies and Application.
 
7
 
8
Data Grid Project (EU Data Grid), Accessed Nov 2005 http://eu-datagrid.web.cern.ch/eu-datagrid/.
 
9
Ghisellir A(2002), Datagrid Prototype 1, TERENA Networking Conference.
 
10
GridPhyN project (Grid Physics Network), http://www.griphyn.org, accessed Nov 2005. Introduction to Grids and the Globus Toolkit, Globus Project, http://www.globus.org accessed Nov 2005.
 
11
Malon D, et al(2001), Grid enabled Data Access in the ATLAS Athena Framework, Computing and HighEnergy Physics Conference.
 
12
Noriyuki Fujimoto, Kenichi Hagihara(2003), Near Optimal Dynamic Task Scheduling of Independent Coarse Grained Tasks onto a Computational Grid, International Conference on Parallel Processing (ICPP-03), pp. 391-398, IEEE Press, Taiwan, Oct 6-9.
 
13
 
14
 
15
Xia Qin and Hong Jiang (2003), Data Grids: Supporting Data-Intensive Applications in Wide Area Networks, Dept of CSE, University of Nebraska Lincoln, NE, No. TR 03-05-01.

Collaborative Colleagues:
R. S. Bhuvaneswaran: colleagues
Yoshiaki Katayama: colleagues
Naohisa Takahashi: colleagues