The Oil and Gas Pipeline SCADA System Based on Cloud Computing and the Scheduling Algorithm

Liu Miao; Man Cang Yuan; Cheng Qiang Wang; Rui Qiang Gao

doi:10.4028/www.scientific.net/AMR.1044-1045.1406

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1044-1045The Oil and Gas Pipeline SCADA System Based on...

The Oil and Gas Pipeline SCADA System Based on Cloud Computing and the Scheduling Algorithm

Abstract:

For improving the reliability and resource utilization of oil and gas pipeline Supervisory Control and Data Acquisition (SCADA) system, the application framework of oil and gas pipeline SCADA system based on cloud computing and a high reliability scheduling algorithm is proposed in the paper. Simulation results show the SCADA system based on cloud computing with new scheduling algorithm can realize history data backup in many computers and real-time data processed with primary-backup copy. So, the new application framework and new scheduling algorithm can provide better reliability and improve the resource utilization of system.

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Periodical:

Advanced Materials Research (Volumes 1044-1045)

Pages:

1406-1410

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1044-1045.1406

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Online since:

October 2014

Authors:

Liu Miao*, Man Cang Yuan, Cheng Qiang Wang, Rui Qiang Gao

Keywords:

Cloud Computing, Gas Pipeline SCADA System, High Reliability Scheduling, Oil

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* - Corresponding Author

References

[1] Li Yang, Xiedong Cao, Research on fnn-based security defence architecture model of scada network, Proceedings of IEEE CCIS. 2012. pp.1829-1833.

Google Scholar

[2] Karnouskos S, Colombo A W. Architecting the next generation of service-based SCADA/DCS system of systems. IECON 2011-37th Annual Conference on IEEE Industrial Electronics Society. IEEE, 2011: 359-364.

DOI: 10.1109/iecon.2011.6119279

Google Scholar

[3] IBM. IBM Introduces Ready to Use Cloud Computing. IBM Press Release, 15th November (2007).

Google Scholar

[4] R.L. Grossman, The Case for Cloud Computing, IT Professional, vol. 11, no. 2, pp.23-27(2009).

Google Scholar

[5] Armbrust M, Fox A, Griffith R, et al. A view of cloud computing. Communications of the ACM, 2010, 53(4): 50-58.

Google Scholar

[6] Amazon Elastic Compute Cloud (EC2), http: /www. amazon. com/gp /browse. html? node =201590011.

Google Scholar

[7] Ostermann S, Iosup A, Yigitbasi N, et al. A performance analysis of EC2 cloud computing services for scientific computing. Cloud Computing. Springer Berlin Heidelberg, 2010: 115-131.

DOI: 10.1007/978-3-642-12636-9_9

Google Scholar

[8] Ekanayake J, Fox G. High performance parallel computing with clouds and cloud technologies. Cloud Computing. Springer Berlin Heidelberg, 2010: 20-38.

DOI: 10.1007/978-3-642-12636-9_2

Google Scholar

[9] Zhang Q, Cheng L, Boutaba R. Cloud computing: state-of-the-art and research challenges. Journal of internet services and applications, 2010, 1(1): 7-18.

Google Scholar

[10] Marston S, Li Z, Bandyopadhyay S, et al. Cloud computing-The business perspective. Decision Support Systems, 2011, 51(1): 176-189.

DOI: 10.1016/j.dss.2010.12.006

Google Scholar