Synchronization Simulations of Secure Knowledge Transfer in Cloud Networks

Abstract

The security challenges of cloud computing is one of the most exciting new trends, which provides a secure paradigm to enable convenient and on-demand network access to a shared pool of configurable computing resources. Based on the cloud network characteristic of knowledge transfer procedures, cloud networks were generally adopted to study the synchronization dynamics of knowledge transfer in recent years. Whereas in the existing research on the synchronization dynamics of knowledge transfer in, while the complexity of cloud networks often increases difficulties of the research on knowledge transfer. According to the prior research on synchronization dynamics in the cloud networks, characteristic of knowledge transfer's synchronization dynamics in cloud networks has been investigated. We conduct a synchronization simulation of knowledge transfer in cloud networks by changing coupling strength and constructing parameters of network. The simulation results show some different conclusion from past research. First is that coupling strength has positive effect on synchronization. As coupling strength is becoming stronger, synchronization goes up linearly at the beginning and comes to a nearly stable state soon. Second is the rewiring probability of cloud networks has positive effect on synchronization when coupling strength is strong. When the average degree of cloud networks increases, the synchronization level degrades, although the average degree makes the individuals in networks could get more connections and chances to communicate. Then when the nodes and links of networks become congested, the reactions between the individuals who are the knowledge holders get down inversely. Sequentially the wills of disseminators to disseminate knowledge and absorbers to absorb knowledge get down both, also the synchronization level does. According to such condition, the organizations need control the connections and communications of employees to avoid side effects. The third suggestion is that the rewiring probability of cloud networks has little influence on synchronization when coupling strength is not really strong. The last conclusion is the increasing of network nodes and network expanding will improve the probability of successful knowledge synchronization.