An Architectural Design of Computerized Maintenance Management System towards SOA and Cloud Computing

Main Article Content

ชัยรัตน์ ศรีพงษ์ธนากุล
กิตติมา เมฆาบัญชากิจ

Abstract

For the software each type as use for preventive maintenance machine system. Active by refer data base form Server and the main parameter of operation efficiency depend on the performance of system and server include resources to service. But nowadays, novel Cloud Computing is a technology that can offer operation flexibility. It is an adaptable resource for the each user. Software modifications are available on cloud computing. To develop software to change all architectures at once. Possible but must take long time of operation. Development of architecture for CMMS software running on architectures type Client/Server can operate under previous condition and there is an option to continue to use CMMS software with Cloud Computing Architecture. It is a great way to apply and improve CMMS software with cloud computing technology. By using Service-Oriented Architecture (SOA) purpose for CMMS software as operating under two architectures can be linked and communicated by API.


 

Article Details

Section
Research Article

References

Jinn-Shing C., Huang E., and Chuan-Lang L., “An E-Book Hub Service Based on a Cloud Platform,” The International Review of Research in Open And Distance Learning, vol. 13, no. 5, pp. 39-55, 2012.

A. Crespo Marquez and J. N. D. Gupta, “Contemporary maintenance management: process, framework and supporting pillars,” Omega, vol. 34, no. 3, pp. 313–326, Jun. 2006.

Marinescu D. C., “Cloud computing delivery models and services,” in Cloud Computing Theory and Practice, Waltham: Elsevier, 2013, pp. 11-14.

F. Liu et al., “NIST Cloud Computing Reference Architecture,” Special Publication (NIST SP) - 500-292, 2011.

S. Zhang, S. Zhang, X. Chen, and X. Huo, “Cloud Computing Research and Development Trend,” in 2010 Second International Conference on Future Networks, Jeju Island, Korea (South), Jun. 2010, pp. 93–97.

Singh S. and Chana I., “Introducing Agility in Cloud Based Software Development through ASD,” International Journal of u- and e- Service, Science and Technology, vol. 6, no. 5, pp. 191-202, 2013.

W. T. Tsai, X. Sun, and J. Balasooriya, “Service-Oriented Cloud Computing Architecture,” in 2010 Seventh International Conference on Information Technology: New Generations, Las Vegas, NV, USA, 2010, pp. 684–689.

Schulte S., Hoenisch P., Hochreiner C., Dustdar S., Klusch M. And Schuller D., “Towards Process Support for Cloud Manufacturing,” in 2014 IEEE 18th International Enterprise Distributed Object Computing Conference, 2014, pp. 142-149.

Karnouskos S., Colombo A. W., Bangemann T., Manninen K., Camp R.,Tilly M., Stluka P., Jammes F., Delsing J. and Eliasson J., “A SOA-base architecture for empowering future collaborative cloud-based industrial automation,” in IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society (IECON 2012), Montreal, 25-28 Oct 2012, pp. 5766-5772.

R. Buyya, R. Ranjan, and R. N. Calheiros, “InterCloud: Utility-Oriented Federation of Cloud Computing Environments for Scaling of Application Services,” presented at the International Conference on Algorithms and Architectures for Parallel Processing, 2010, pp. 13–31.

P. Jamshidi, A. Ahmad, and C. Pahl, “Cloud Migration Research: A Systematic Review,” IEEE Transactions on Cloud Computing, vol. 1, no. 2, pp. 142–157, Jul. 2013.

L. Mei, W. K. Chan, and T. H. Tse, “A Tale of Clouds: Paradigm Comparisons and Some Thoughts on Research Issues,” in 2008 IEEE Asia-Pacific Services Computing Conference, 2008, pp. 464–469.