A cloud-computing application in land resources information management

Lei Fang; Shen Jun Yao; Ting Liu; Ren Yi Liu

doi:10.1109/GCC.2010.81

A cloud-computing application in land resources information management

Lei Fang^*
, Shen Jun Yao
, Ting Liu
, Ren Yi Liu

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

Based on the characteristics of land resources information management, this research firstly designs a land resources cloud computing platform. Four main strategies, namely job scheduling, cloud cache pool, MapReduce and resources-oriented techniques are then discussed in details. A prototype system named LandCloud is then introduced, followed by two experiments which are conducted to test the performance of the system. The results show enough evidence of the usefulness of cloud computing services in managing land resources data.

Original language	English
Title of host publication	Proceedings - 9th International Conference on Grid and Cloud Computing, GCC 2010
Pages	388-393
Number of pages	6
DOIs	https://doi.org/10.1109/GCC.2010.81
State	Published - 2010
Externally published	Yes
Event	9th International Conference on Grid and Cloud Computing, GCC 2010 - Nanjing, Jiangsu, China Duration: 1 Nov 2010 → 5 Nov 2010

Publication series

Name	Proceedings - 9th International Conference on Grid and Cloud Computing, GCC 2010

Conference

Conference	9th International Conference on Grid and Cloud Computing, GCC 2010
Country/Territory	China
City	Nanjing, Jiangsu
Period	1/11/10 → 5/11/10

Keywords

Cache pool
Cloud computing
Land resource
MapReduce
SOA

Access to Document

10.1109/GCC.2010.81

Cite this

@inproceedings{a37be5a4d61644c8a0a3a286e2c995b0,

title = "A cloud-computing application in land resources information management",

abstract = "Based on the characteristics of land resources information management, this research firstly designs a land resources cloud computing platform. Four main strategies, namely job scheduling, cloud cache pool, MapReduce and resources-oriented techniques are then discussed in details. A prototype system named LandCloud is then introduced, followed by two experiments which are conducted to test the performance of the system. The results show enough evidence of the usefulness of cloud computing services in managing land resources data.",

keywords = "Cache pool, Cloud computing, Land resource, MapReduce, SOA",

author = "Lei Fang and Yao, \{Shen Jun\} and Ting Liu and Liu, \{Ren Yi\}",

year = "2010",

doi = "10.1109/GCC.2010.81",

language = "英语",

isbn = "9780769543130",

series = "Proceedings - 9th International Conference on Grid and Cloud Computing, GCC 2010",

pages = "388--393",

booktitle = "Proceedings - 9th International Conference on Grid and Cloud Computing, GCC 2010",

note = "9th International Conference on Grid and Cloud Computing, GCC 2010 ; Conference date: 01-11-2010 Through 05-11-2010",

}

Fang, L, Yao, SJ, Liu, T & Liu, RY 2010, A cloud-computing application in land resources information management. in Proceedings - 9th International Conference on Grid and Cloud Computing, GCC 2010., 5662720, Proceedings - 9th International Conference on Grid and Cloud Computing, GCC 2010, pp. 388-393, 9th International Conference on Grid and Cloud Computing, GCC 2010, Nanjing, Jiangsu, China, 1/11/10. https://doi.org/10.1109/GCC.2010.81

A cloud-computing application in land resources information management. / Fang, Lei; Yao, Shen Jun; Liu, Ting et al.
Proceedings - 9th International Conference on Grid and Cloud Computing, GCC 2010. 2010. p. 388-393 5662720 (Proceedings - 9th International Conference on Grid and Cloud Computing, GCC 2010).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A cloud-computing application in land resources information management

AU - Fang, Lei

AU - Yao, Shen Jun

AU - Liu, Ting

AU - Liu, Ren Yi

PY - 2010

Y1 - 2010

N2 - Based on the characteristics of land resources information management, this research firstly designs a land resources cloud computing platform. Four main strategies, namely job scheduling, cloud cache pool, MapReduce and resources-oriented techniques are then discussed in details. A prototype system named LandCloud is then introduced, followed by two experiments which are conducted to test the performance of the system. The results show enough evidence of the usefulness of cloud computing services in managing land resources data.

AB - Based on the characteristics of land resources information management, this research firstly designs a land resources cloud computing platform. Four main strategies, namely job scheduling, cloud cache pool, MapReduce and resources-oriented techniques are then discussed in details. A prototype system named LandCloud is then introduced, followed by two experiments which are conducted to test the performance of the system. The results show enough evidence of the usefulness of cloud computing services in managing land resources data.

KW - Cache pool

KW - Cloud computing

KW - Land resource

KW - MapReduce

KW - SOA

UR - https://www.scopus.com/pages/publications/79960421463

U2 - 10.1109/GCC.2010.81

DO - 10.1109/GCC.2010.81

M3 - 会议稿件

AN - SCOPUS:79960421463

SN - 9780769543130

T3 - Proceedings - 9th International Conference on Grid and Cloud Computing, GCC 2010

SP - 388

EP - 393

BT - Proceedings - 9th International Conference on Grid and Cloud Computing, GCC 2010

T2 - 9th International Conference on Grid and Cloud Computing, GCC 2010

Y2 - 1 November 2010 through 5 November 2010

ER -

A cloud-computing application in land resources information management

Abstract

Publication series

Conference

Keywords

Access to Document

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