Manufacturing Industry: A Sustainability Perspective On Cloud And Edge Computing

Abstract

The problem is investigated through an analysis of the industrial use cases and sustainability of cloud and edge computing technologies. The study is carried out as a review of the literature, and industry-published materials are also employed to comprehend the demands of the market for these technologies. The findings suggest that manufacturing may achieve notable sustainability gains by leveraging cloud and edge computing for data analysis, automation, and cross-organizational cooperation. These consist of enhanced productivity, safety, quality, flexibility, and scalability as well as increased resource and energy efficiency. It is also possible to save costs and decrease waste and downtime. Studies indicate that cloud computing is a more energy-efficient and environmentally friendly option than localized servers. When opposed to centralized data centers, edge computing solutions provide reduced latency. Additionally, edge computing lowers expenses and energy usage by minimizing the quantity of data that has to be sent.

The decentralization of cloud centre provides low-latency computing capabilities. This makes it possible to host latency-sensitive apps that need more processing power than edge devices can provide. Furthermore, for non-compute-intensive application and centre can result in considerable energy and cost reductions. Applications requiring high computational latency and tolerance should be housed in bigger, centralized data centers with more processing power and energy efficiency.