Toward Understanding Uncertainty in Fog-Cloud Computing for Big Data Storage and Processing

Abstract

Fog computing is currently getting more and more development. But researchers face the challenges of uncertainty, security, and data management in the fog. To solve these problems, re-searchers use various methods. For example, methods of machine learning, orchestration, cryptography, etc. are used. In this paper, we propose a method for solving the confidentiality problem based on modular arithmetic, secret sharing schemes, and homomorphic ciphers. An overview and nature of the arising uncertainties in fog computing is given. Approaches to its reduction are proposed.