Adopting Cloud Computing in Aviation Industry for Flight Safety

Authors

  • Syed Faizan Haider Dep of IS, King Abdulaziz University, Jeddah,Kingdom of Saudi Arabia. Author
  • Abdulhameed M Khateeb Dep of IS, King Abdulaziz University,Jeddah, Kingdom of Saudi Arabia, Author

Keywords:

cloud computing, air traffic control (ATC), satellite communication, radar systems, FDR

Abstract

Flight Data Recorder (FDR) an aircraft  component mounted on board, registers and records all 

different operations and conditions of aircraft during  flight. Video animation and reconstruction of the flight  

progress can then be visualized by investigators to show  the last moments before the accident happened after

data retrieval from FDR.  

There might be difficulties in some cases where it is  hard to rescue FDR from accident scene, or if found,  data cannot be retrieved due to exposure to extreme  heat. Thus, an alternative source of data is highly  crucial; therefore cloud computing technology linkage  to aircraft systems in the Real Time for data network  environment to maintain continuous flow of data and  safety has been stressed upon. 

This research examined how concerned stakeholders in  the global aviation industry can improve significantly  on aviation safety by linking and saving the aircraft’s  data communications to cloud computing on the ground  to facilitate the tracking and monitoring of aircrafts in  real time, in case the aircraft crashes and loses or  suffers damages on its black box component.  

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References

Aragon, C. and Hearst, M., 2005. Improving aviation safety with information visualization:

Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., Konwinski, A. and Zaharia, M. (2010). A view of cloud computing. Communications of the ACM, 53(4), pp. 50-58.

ATP, 2014. How cloud computing will change the aviation maintenance operation. New York: ATP Press.

Babcock, C., 2011. Lessons from FarmVille: How Zynga uses the cloud, s.l.: New York: InformationWeek.

Behrendt, M., Glasner, B., Kopp, P., Dieckmann, R., Breiter, G., Pappe, S., Kreger, H. and Arsanjani, A., 2011. Introduction and architecture overview IBM cloud computing reference architecture 2.0. Draft Version V, 1(0). New York: IBM Press.

Bergman, M.M. ed., 2008. Advances in mixed methods research: Theories and applications. New York: Sage.

Buyya, R., Yeo, C. S., Venugopal, S., Broberg, J. and Brandic, I., 2009. Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility. Future Generation Computer Systems, 25(6), pp. 599-616.

Carlson, E., Reyes, A. and Usmani, A., 2012. FAA cloud computing strategy. The Journal of Air Traffic Control, 55, pp. 43-55.

Cloud, Amazon Elastic Compute. "User Guide, API Version Mar. 1, 2012." 97-103.

Creswell, J.W. and Clark, V.L.P., 2017. Designing and conducting mixed methods research. London: Sage publications.

Creswell, J.W. and Creswell, J.D., 2017 Research design: Qualitative, quantitative, and mixed methods opproaches London: Sage publication.

Cusumano, M., 2010. Cloud computing and SaaS as new computing platforms. Communications of the ACM, 53(4), pp.27-29.

Eval-Source, 2014. ERP Cloud and SaaS Buyer’s Guide , s.l.: New York: TechTarget.

Farneth, M., McMahon, S. E., Rougas, J. A., Valovage, E. M., and Edward, B., 2012. U.S. Patent No. 8,159,385. Washington, DC: U.S. Patent and Trademark Office.

GAO, 2015. Aviation Safety: Proposals to enhance aircraft tracking and flight data recovery may aid accident investigation, but challenges remain. Washington: United States Government Accountability Office, Report to Congressional Requesters.

Garmatyuk, D., Schuerger, J., Morton, Y. T., Binns, K., Durbin, M. and Kimani, J., 2007. Feasibility study of a multi-carrier dual-use imaging radar and communication system. In Microwave Conference, 2007. European (pp. 1473-1476). Piscataway: IEEE.

Glas, M. and Andres, P., 2010. Achieving the cloud computing vision. New York: Oracle.

Gupta, R., 2012. Navigating the clouds aviation industry. Noida: HCL Technologies.

Ka-band. 2014. Connecting Business Aviation, Honeywell Satellite Communications, Honeywell Aerospace, 2014. Retrieved from https://aerospace.honeywell.com

Krintz, C., 2013. The appscale cloud platform: Enabling portable, scalable web application deployment. IEEE Internet Computing, 17(2), pp.72-75.

Krutz, R.L. and Vines, R.D., 2010. Cloud security: A comprehensive guide to secure cloud computing. New Jersey: Wiley Publishing.

Munch, J., Takorma, S. and Kesseli, H., 2013. Cloud enhanced embedded systems. University of Helsinki, Department of Computer Science.

Tashakkori, A. and Teddlie, C. eds., 2010. Sage handbook of mixed methods in social & behavioral research. Thousand Oaks: Sage.

Teddlie, C. and Tashakkori, A., 2009. Foundations of mixed methods research: Integrating quantitative and qualitative approaches in the social and behavioral sciences. New York: Sage.

Vouk, M, 2008. Cloud computing – issues, research and implementations. Journal of Computing and Information Technology, 4, pp. 235–246, doi:10.2498/cit.1001391.

Zhu, J., Fang, X., Guo, Z., Niu, M.H., Cao, F., Yue, S. and Liu, Q.Y., 2009. IBM cloud computing powering a smarter planet. In IEEE International Conference on Cloud Computing (pp. 621-625). Berlin: Springer.

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Published

2018-11-01

How to Cite

Adopting Cloud Computing in Aviation Industry for Flight Safety . (2018). International Journal of Innovative Research in Computer Science & Technology, 6(6), 133–137. Retrieved from https://acspublisher.com/journals/index.php/ijircst/article/view/13441