Fog Computing Mitigate Limitations of Cloud Computing

Abstract

In today’s world, cloud computing is the most exciting and advanced technology. It came into existence with lots of advantages, but cloud-only computing has some disadvantages also like latency in real-time data processing, network congestion, less bandwidth utilization, fault tolerance, and security issues in public cloud. To address the issue of real-time data-processing and security in public cloud new computing model are used which is known as Fog Computing. It is nearer to the client or edge so that it can reduce the latency in real time data-processing and security in public cloud using techniques like user profiling and decoying technique. Fog Computing help us to overcome the latency and security issues of cloud computing. It reduces cloud latency in real time data-processing because fog computing model is nearer to the edge devices. It also improves cloud security in the public cloud.

Security Limitations with Cloud Computing: Well-defined Security Measures Using Cloud Computing

“…Moreover, since cloud computing data security is still a challenge, future research directions should explore the efficiency of three-factor authentication versus two-factor authentication to optimally improve cloud security. Finally, fog computing should also be explored since it provides added security in public cloud by profiling the user's behavior through a decoy technique (Bhatia et al, 2020). Cloud computing may experience a great rise in its adoption if security challenges are addressed and resolved to increase customers' trust and confidence.…”