Digital Information Platform of Employment Based on Cloud Computing

Abstract:

In view of the present situation of employment information platform, this paper analyzes the characteristics and application prospect, and presents a digital employment information platform based on cloud computing (DEIPBC2). It puts forward the architecture and the System Solution of digital employment information platform. This paper discusses the virtualization and the parallel programming model on cloud computing, and realizes the employment information reliable storage and rapid processing.

• Periodical: Advanced Materials Research (Volumes 433-440)
• Pages: 4849-4852
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.433-440.4849
• Online since: January 2012
• Authors: Wei Li, Jie Lu, Tong Hui Cao, Su Juan Zhang
• Keywords: Cloud Computing, Digitalization, Employment Information

References

[1] DIK AIAKOS M D, KATSAROS D, MEHRA P. Cloud computing: distributed internet computing for IT and scientific research. IEEE Internet Computing, 2009, 13(5): 10-13.

DOI: 10.1109/mic.2009.103

[2] YANG H, DASDAN A, HSIAO R, et al. Map reduce merge simplified relational data processing on large clusters proceedings of the 2007 ACM SIGMOD International Conference on Management of Data, June 12-14, 2007, Beijing, China: 1029-1040.

DOI: 10.1145/1247480.1247602

[3] CHANG F, DEAN J, GHEMAWAT S, et al. BigTable: a distributed storage system for structured data. ACM Transactions on Computer Systems, 2008, 26(2): 1-26.

DOI: 10.1145/1365815.1365816

[4] GHENMAWAT S, GOBIOFF H, LEUNG ST. The Google file system Proceedings of the 19th ACM Symposium on Operating Systems principles, October 19-22, 2003, Bolton Landing, NY, USA: 29-34.

DOI: 10.1145/945445.945450

[5] ZHANG Wenliang, LIU Ahuangzhi, WANG Mingjun, et al. Research status development trend of smart grid. Power System Technology, 2009, 33(13): 1-11.

[6] LIU Yi, GUO Wei, JIANG Wan, et al. Research of remote sensing service based on cloud computing mode. Application Research of Computers, 2009(9): 3428-3431.

[7] YANG Gang, SUI Yulei. Adaptive approach to monitor resource for cloud computing platform. Computer Engineering and Applications, 2009, 45(29): 14-19.

[8] CHEN Kang, ZHENG Wei. Cloud computing: system instances and current research. Journal of Software, 2009, 20(5): 1337-1348.

DOI: 10.3724/sp.j.1001.2009.03493

[9] VAQU ERO L M, RODERO-MERINO L, CACERES J, et al. A break in the clouds : towards a cloud definition. ACMSIGCOMM Computer Communication Review, 2009, 39(1): 50-55.

DOI: 10.1145/1496091.1496100

[10] LIN Feng, HU Mu, JIANG Yuanchen, et al. Architecture and related techniques of a power dispatching data platform. Automation of Electric Power Systems, 2007, 31(1): 61-64.