Please use this identifier to cite or link to this item: http://13.232.72.61:8080/jspui/handle/123456789/281
Title: Optimize Utility in Computing-Based Manufacturing Systems Using Service Models and Development Models
Authors: Gangadhara, Bhargav
Chandrappa, C. N.
Keywords: Mechanical Engineering
Automobile Engineering
Issue Date: May-2016
Publisher: International Journal of Innovative Research in Advanced Engineering
Citation: Gangadhara, B., & Chandrappa, C. N. (2014). Optimize utility in computing-Based manufacturing systems using service models and development models, International Journal of Innovative Research in Advanced Engineering, 3(5), 35-40.
Abstract: Present manufacturing systems use Manual migration of essential manufacturing related data wherein they identify servers manually for placement of application executable files and includes subject matter expertise to manually select the server and create, configure website and authorization and repeat migration process in other servers. This involves migration from source-server to destination-servers. The concept of cloud computing is not been introduced in both the case i.e. source server and destination server. In case of failures they perform manual back-up and restore. This manual migration process is time consuming, error prone, repetitive operation. Proposed Automatic migration system uses cloud migration automation where in both the source server and destination servers are placed in any of the deployment model such as private cloud, community cloud or public cloud. Provide a Rules engine core for data encryption, Intuitive UI for client side usage. Universal configuration management database solution (UCNDB) for daily refresh of data and migration database which execute using impersonated EPR specific user. Resource planning is also required to do random testing in case there are few requests or quality of the product is critical and this will help in identifying how much testing is done
URI: http://13.232.72.61:8080/jspui/handle/123456789/281
ISSN: 2349-2763
Appears in Collections:Articles



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