A neuro-fuzzy approach to self-management of virtual network resources

作者：Mijumbi Rashid^*; Gorricho Juan Luis; Serrat Joan; Shen Meng; Xu Ke; Yang Kun

来源：Expert Systems with Applications, 2015, 42(3): 1376-1390.

DOI：10.1016/j.eswa.2014.08.058

• Neural networks
• Fuzzy systems
• Neuro-fuzzy systems
• Reinforcement learning
• Network virtualisation
• Dynamic resource allocation
• Multi-agent systems
• Autonomous systems
• Future Internet

Network virtualisation promises to lead to better manageability of the future Internet by allowing for adaptable sharing of physical network resources among different virtual networks. However, the sharing of resources is not trivial as virtual nodes and links should first be mapped onto substrate nodes and links, and thereafter the allocated resources managed throughout the lifetime of the virtual network. In this paper, we design and evaluate reinforcement learning-based neuro-fuzzy algorithms that perform dynamic, decentralised and coordinated self-management of substrate network resources. The objective is to achieve better efficiency in the utilisation of substrate network resources while ensuring that the quality of service requirements of the virtual networks are not violated. The proposed algorithms are evaluated through comparisons with a Q-learning-based approach as well as two static resource allocation schemes.

• 出版日期2015-2-15
• 单位清华大学