참고문헌
- 강상구, 이기원, 2010. 위성영상정보 분석을 위한 안드로이드 스마트폰 앱 개발, 대한원격탐사학회지, 26: 561-570. https://doi.org/10.7780/kjrs.2010.26.5.561
- 강상구, 이기원, 2011. 위성영상정보 기반 코너 포인트 객체 추출 안드로이드 스마트폰 앱 개발, 대한원격탐사학회지, 27: 33-41. https://doi.org/10.7780/kjrs.2011.27.1.033
- 강상구, 이기원, 2012. 공간영상정보 클라우드 서비스를 위한 스마트폰 앱 개발 전략, 한국지리정보학회 2012 춘계학술대회.
- 김광섭, 이기원, 2012. 클라우드 컴퓨팅 연계 모바일 3차원 공간객체 처리 기술 분석, 한국지리정보학회 2012 춘계학술대회.
- 유선실, 2012. 개인용 클라우드 (Personal Cloud) 서비스 동향, 방송통신정책, 24: 43-48.
- 한국전자통신연구원, 2011. 공개 SW기반 클라우드 기술 현황, 전자통신동향분석, 26: 43-54.
- 한국정보화진흥원, 2011. 2012년 IT 트렌드 전망 및 정책방향, IT 정책연구시리즈, 21p.
- Alonso-Calvo, R., J. Crespo, M. Garcia-Remesal, A. Anguita, and V. Maojo, 2010. On distributing load in cloud computing: A real application for very-large image datasets, Procedia Computer Science, 1: 2669-2677. https://doi.org/10.1016/j.procs.2010.04.300
- Armbrust, M., A. Fox, R. Griffith., A.D. Joseph, R. Katz, A. Konwinski, G. Lee, D. Patterson, A. Rabkin, I. Stoica, and M. Zaharia, 2009. Above the Coluds: A Berkeley View of Cloud Computing, University of California Berkeley Technical Report, UCB/EECS-2009-28.
- Barnatt, C., 2010. A Brief Guide to Cloud Computing. Constable & Robinson Ltd., 289p.
- Dean, J. and S. Ghemawat, 2004. MapReduce: Simplified Data Processing on Large Clusters, Proceedings of the 6th Symposium on Operating Systems Design and Implementation, pp. 137-150.
- Endo, P.T., G.E. Goncalves, J. Kelner, and D. Sadok, 2010. A Survey on Open-source Cloud Computing Solutions, Brazilian Symposium on Computer Networks and Distributed Systems.
- Fernando, N., S. W. Loke, and W. Rahayu, 2013. Mobile cloud computing: A survey, Future Generation Computer Systems, 29: 84-106. https://doi.org/10.1016/j.future.2012.05.023
- Iosup, A., S. Ostermann, N. Yigitbasi, R. Prodan, T. Fahringer, and D. Epema, 2011. Performance analysis of cloud computing services for many-tasks scientific computing, IEEE Trans. Parallel Distrib. Syst., 22: 931-945. https://doi.org/10.1109/TPDS.2011.66
- Lee, K., 2012. Open Source Cloud Computing: An Experience Case of Geo-based Image Handling in Amazon Web Services, Korean Journal of Remote Sensing, 28: 337-346. https://doi.org/10.7780/kjrs.2012.28.3.337
- Ostermann, S., A. Iosup, N. Yigitbasi, R. Prodan, T. Fahringer, and D. Epema, 2010. A Performance Analysis of EC2 Cloud Computing Services for Scientific Computing, Cloudcomp: 115-131.
- OTB Development Team, 2010. The ORFEO Tool Box Software Guide, Updated for OTB-3.8, 670p.
- Sempolinski, P. and D. Thain, 2010. A Comparison and Critique of Eucalyptus, OpenNebula and Nimbus, IEEE International Conference on Cloud Computing Technology and Science, pp. 417-426.
- Sriram, I. and K.-H. Ali, 2010. Research Agenda in Cloud Technologies, 1st ACM Symposium on Cloud Computing, http://arxiv.org/ftp/arxiv/papers/1001/ 1001.3259.pdf.
- Xiong, K. and H. Perros, 2009. Service Performance and Analysis in Cloud Computing, Proceedings of the 2009 Congress on Services I.: 693-700.
- Zhang, S., H. Yan, and X. Chen, 2012. Research on Key Technologies of Cloud Computing, Physics Procedia, 33: 1791-1797. https://doi.org/10.1016/j.phpro.2012.05.286
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