Non-Euclidean Graph-Convolution Virtual Network Embedding for Space–Air–Ground Integrated Networks

Virtual Embedding Networks for Vector Network Analyzer ZVR

Distributed Virtual Network Embedding

The Internet in its current form is considered to be inflexible and difficult to change. Though a number of innovations and improvements (like DiffServ/IntServ, IPv6, ...) have been proposed, the actual architecture of the Internet has experienced a very slow adoption of new ideas. Network virtualization has been recognized as a tool to overcome this perceived ossification [1, 2]. Network virtu...

Survivable Virtual Network Embedding

Network virtualization can offer more flexibility and better manageability for the future Internet by allowing multiple heterogeneous virtual networks (VN) to coexist on a shared infrastructure provider (InP) network. A major challenge in this respect is the VN embedding problem that deals with the efficient mapping of virtual resources on InP network resources. Previous research focused on heu...

Non-Euclidean Dissimilarities: Causes, Embedding and Informativeness

In many pattern recognition applications object structure is essential for the discrimination purpose. In such cases researchers often use recognition schemes based on template matching which lead to the design of non-Euclidean dissimilarity measures. A vector space derived from the embedding of the dissimilarities is desirable in order to use general classifiers. An isometric embedding of the ...

Embedding of Virtual Network Requests over Static Wireless Multihop Networks

Network virtualization is a technology of running multiple heterogeneous network architecture on a shared substrate network. One of the crucial components in network virtualization is virtual network embedding, which provides a way to allocate physical network resources (e.g., CPU and link bandwidth) to virtual network requests. Despite significant research efforts on virtual network embedding ...