Simulators for Fog Computing and Information Processing

Abstract

The concept of fog computing refers to a paradigm of distributed computing that extends cloud computing to the most remote parts of the network. Simulators are useful for analyzing resource management techniques including load balancing, fault tolerance, and energy efficiency in fog computing settings. This could result in the creation of more effective resource management algorithms. Fog simulators offer a realistic environment for testing fog computing applications and systems, incorporating authentic network conditions, device capabilities, and application requirements. This aids in recognizing and resolving such problems before implementing fog computing systems in practical situations. Fog computing links the breach between the cloud and other networking edges, qualifying the decentralized operation of computing equipment. Traditional cloud computing has several problems, including latency, size, space, and network failure. Fog computing can quickly and easily fix these issues. Moreover, it creates a complicated set of issues for both the scientific community and business. Both have several unresolved issues to deal with, including standardizing architecture and dealing with issues like resource management, service management, quality of service (QoS), participation, and communication. The objective of the article is to present a study on simulators for fog computing and cloud information.