Robotic Process Automation using Container-related Methodologies

John, Jaison (2020) Robotic Process Automation using Container-related Methodologies. Masters thesis, Dublin, National College of Ireland.

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Abstract

The World is moving towards a new normal of “Work-From-Home” in this pandemic which has led to the adoption of Intelligent Automation more than ever before. And what better than Robotic Process Automation(RPA) which is an emerging technology based on software robotics to aid the automation of business processes. However, the use of RPA can be revolutionized by using the containerrelated methodologies. To realize this objective, the concept of Cloud Robotics have been analyzed in this paper with respect to both Hard and Soft Automation. Existing methodologies of different architectures have been reviewed, identifying its corresponding gaps and thus laying the groundwork for better practices in the field of RPA which comes under Soft Automation. Inspired from the Resource allocation techniques of the containers, a new Queue-based bot locking algorithm has been implemented using Blue Prism RPA tool with virtualized “Multi-Robot” architecture. This has helped in achieving better scalability and increased performance. It has been successfully implemented on an Insurance Web application to solve its pandemic-related surging problems. An evaluation using Multiple Regression is conducted to determine the performance difference of Multi-Robot RPA against the traditional RPA along with determining the mathematical functions for the same.

Item Type:	Thesis (Masters)
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Cloud computing
Divisions:	School of Computing > Master of Science in Cloud Computing
Depositing User:	Dan English
Date Deposited:	28 Jan 2021 14:38
Last Modified:	28 Jan 2021 14:38
URI:	https://norma.ncirl.ie/id/eprint/4538

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