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Doctoral Thesis | Computer Engineering | United States of America | Volume 12 Issue 6, June 2023 | Rating: 5 / 10
Optimizing Cloud - Based Manufacturing: A Study on Service and Development Models
Abstract: This study introduces an optimized cloud - based manufacturing system for industries suffering high - cost losses due to inefficient technology acceptance. The proposed system leverages cloud migration automation and cloud computing service models to enhance data storage and management, aiming to replace manual, error - prone processes. The purpose of this research is to introduce an optimized cloud - based manufacturing system that can enhance efficiency and reduce costs in industries struggling with technology acceptance. This research is significant as it proposes a solution to the prevalent issue of inefficient technology acceptance in industries, potentially leading to cost reduction and increased efficiency. The technology is there in market but not functional 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 acceptance. Autonicon fig DB 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. The proposed model can be deployed in any services - based industries or manufacturing line which is using the old manual entry of data and manual deployment of application executable files onto the physical servers. The concept of cloud computing service models such as Software as a Service, Platform as a Service, and Infrastructure as a Service can be extensively used in industries which face difficulties in data storage.
Keywords: Source - server, Destination servers, Rules engine core, Intuitive UI, Universal configuration management database solution (UCNDB), migration database, Impersonated EPR specific user. Cloud - Based Manufacturing, Service Models, Development Models, Cloud Migration Automation, Data Storage, Technology Acceptance
Edition: Volume 12 Issue 6, June 2023,
Pages: 2487 - 2491