Work

Symbiotic model and bargaining mechanism of multi-tenant networks in polymorphic cloud-network environment

Year: 2026

Type: article

Abstract: With the deep integration of information technologies and vertical industry applications, diversified applications have imposed increasingly diverse requirements on network performance, reliability and security. Consequently, multiple tenant networks coexist on the same network infrastructure, and achieve resource and performance optimization by dynamic resource game. Based on biological symbiosis theory, this paper studies the symbiosis model and resource bargaining game mechanism among multiple tenant networks in a polymorphic cloud network environment. First, the symbiotic relationship in the multi-tenant networks is analyzed, and the connotation and operational mechanisms of these relationships are defined. Second, we propose the symbiotic evolution dynamic equation based on the Logistic model and the resource game mechanism of the multi-tenant networks. The influence of instantaneous growth rate, network environment capacity and competition coefficient of the tenant network on the scale of each tenant network and symbiotic state is discussed, and its symbiotic stability is analyzed. Finally, the evolution patterns of multiple tenant networks and their symbiotic network benefits under different competitive conditions are compared through simulation experiments.

Source: Digital Communications and Networks

DOI: 10.1016/j.dcan.2026.09.012