Hybrid cloud entropy systems based on Wiener process

Abstract

Purpose

The paper outlines a self-contained scheme for multiple networking agents at a location. It proposes a mathematical model for intelligent cloud entropy management systems. The purpose of this paper is to minimize the cost of system functionality by proposing the substantial use of a cloud-based system.

Design/methodology/approach

The paper proposes a hybrid cloud system, based on a fractional calculus of hybrid integral systems. Its discrete dynamics are suggested by using the fractional entropy type known as Tsallis entropy. This approach is based on the Wiener process (i.e. diffusion processes). This involves the net movement of information or data from a state of high meditation to a state of low observation. This property is a basic characteristic of hybrid cloud computing systems.

Findings

The paper offers a number of solutions to minimize the costs of cloud systems. The method is a proficient technique for presenting various types of fractional differential solutions.

Research limitations/implications

Researchers are encouraged to test and modify the proposed method.

Practical implications

The paper includes suggestions for the expansion of a powerful method for managing and integrating cloud systems stably.

Originality/value

This paper addresses an acknowledged need to study how the cost function of cloud systems can be achieved.

Citation

Ibrahim, R.W. and Ghani, A. (2016), "Hybrid cloud entropy systems based on Wiener process", Kybernetes, Vol. 45 No. 7, pp. 1072-1083. https://doi.org/10.1108/K-01-2016-0010