Integrating Cloud-Computing-Specific Model into Aircraft Design
Cloud Computing is becoming increasingly relevant, as it will enable companies involved in spreading this technology to open the door to Web 3.0. In the paper, the new categories of services introduced will slowly replace many types of computational resources currently used. In this perspective, grid computing, the basic element for the large scale supply of cloud services, will play a fundamental role in defining how those services will be provided. The paper tries to integrate cloud computing specific model into aircraft design. This work has acquired good results in sharing licenses of large scale and expensive software, such as CFD (Computational Fluid Dynamics), UG, CATIA, and so on.
KeywordsCloud Computing Model Aircraft Design License Share
Unable to display preview. Download preview PDF.
- 1.Google App Engine, http://code.google.com/appengine/
- 2.HP, Intel and Yahoo Cloud Computing Test Bed, http://labs.yahoo.com/Cloud_Computing
- 3.Microsoft Cloud Computing Tools, http://msdn.microsoft.com/en-us/vstudio/cc972640.aspx
- 4.IBM Blue Cloud, http://www03.ibm.com/press/us/en/pressrelease/22613.wss
- 5.Wikipedia, Cloud Computing (May 2009), http://en.wikipedia.org/wiki/Cloud_computing
- 6.Vaguero, L., et al.: A Break in the Clouds: Towards a Cloud Definition. ACM SIGCOMM Computer Communication Review 39(1), 1 (2009)Google Scholar
- 7.Amazon Web Services, http://aws.amazon.com
- 8.Palankar, M., Onibokun, A., et al.: Amazon S3 for Science Grids: a Viable Solution. In: 4th USENIX Symposium on Networked Systems Design & Implementation (NSDI 2007) (2007)Google Scholar
- 9.Vouk, M.A.: Cloud computing-Issues, research and implementations. Information Technology Interfaces, 31–40 (2008)Google Scholar
- 10.Ramakrishnan, A., Singh, G., et al.: Scheduling Data-Intensive Workflows onto Storage-Constrained Distributed Resources. In: CCGrid 2007 (2007)Google Scholar
- 11.Liu, H., Orban, D.: Gridbatch: Cloud computing for large-scale data-intensive batch applications. In: CCGRID, pp. 295–305. IEEE Computer Society, Los Alamitos (2008)Google Scholar