A Novel Paradigm: Cloud-Fog Integrated IoT Approach

Abstract

The recent age of cloud computing (CC) has witnessed significant breakthroughs, notably in IoT (Internet of Things), Edge computing, Fog computing, 5G, and subsequently 6G technology. CC allows individuals and businesses to store, process, and manage their data via cloud-enabled systems to facilitate scalability, adaptability, and interconnectivity. The appropriate implementation of numerous cloud computing models aids firms in digital transformation and development with maximum productivity. However, CC integration with IoT allows an extraordinary capability and boosts economies’ ability to develop at a fast pace. Meanwhile, due to the rapid expansion of IoT, the current cloud network cannot keep abreast of the growing data loads and processing extremities, particularly in real-time. Even the most cutting-edge cloud providers are experiencing an inordinate strain as a result of the growing number of consumer and corporate devices connected to the IoT. While it has a centralized design, it lacks bandwidth and has downtime issues. High latency, lack of location awareness, outage concerns, etc., are among the issues that cloud services for IoT confront. Furthermore, due to uninterrupted operating states, the massive volume of data created by the IoT is increasing enormously. IoT devices are creating a flood of data, disrupting predictable data processing and analytics capabilities well managed by the cloud. As a result, securing this ocean of data has become an elite concern for researchers and cyber experts, as organizations jeopardize their reputation and users’ privacy and security. Fog computing (FC) technology has been used, which analyses and acts on the data by bringing the cloud close to the commodities, ultimately reducing the response time. This paper aims to explore various other challenges and issues of incorporating FC into analyzing IoT data.