Orchestration of network applications using middleware for 5G enhanced autonomous robots

Abstract

The demand for multi-purpose solutions grows in the era of the dynamic evolution of cloudnative solutions and robotic applications. The cloud-native applications allow flexibility regarding the number of deployed resources and the variety of available solutions. Currently, robotic applications require a monolithic approach to the solutions presented, which is the opposite of the microservices architecture that is the most popular approach when creating cloud-native solutions. The movement of the robotic software to the cloud accelerated by 5G networks faces the problem of resource orchestration from the perspective of the dynamic changes of the objectives and the complex domain processes. As the movement to the cloud happens, there will be a need for dedicated resource and service orchestration methods that will enable end-to-end communication between the vertical applications and the cloud platforms. The dynamic orchestration and the optimisation of the resources could potentially be one of the biggest challenges that the movement of the robotic network applications to the cloud will face.

Date of Award	Dec 2023
Original language	English
Awarding Institution	University of Bedfordshire
Supervisor	Renxi Qiu (Supervisor) & Enjie Liu (Second supervisor)