  Network virtualization has attracted significant amount of attention in the
last few years as one of the key features of cloud computing. Network
virtualization allows multiple virtual networks to share physical resources of
single substrate network. However, sharing substrate network resources
increases impact of single substrate resource failure. One of the commonly
applied mechanisms to protect against such failures is provisioning redundant
substrate resources for each virtual network to be used to recover affected
virtual resources. However, redundant resources decreases cloud revenue by
increasing virtual network embedding cost. In this paper, a collective
neurodynamic approach has been proposed to reduce amount of provisioned
redundant resources and reduce cost of embedding virtual networks. The proposed
approach has been evaluated by using simulation and compared against some
existing survivable virtual network embedding techniques.
