Virtual network embedding(VNE) is an essential part of network virtualization, which is considered as one of the most promising way for the future network. Its main object is to efficiently assign the nodes and links of a virtual network(VN) to a shared substrate network(SN). The NP-hard ...
One of the main challenges in network virtualization is the efficient allocation of substrate network resources to the virtual networks, a problem known as Virtual Network Embedding(VNE). A number of algorithms for VNE exist in the literature. In this paper, we propose VNEMX, a test-bed for ...
In order to solve the problem, we propose a novel virtual network embedding (VNE) algorithm to increase revenue and utilization of substrate network as well as to improve acceptance fairness of virtual networks. First, we present a virtual topology pre-transformation mechanism leveraging reusable ...
Virne is a simulator for resource allocation problems in network virtualization, mainly for virtual network embedding (VNE). It also is adaptable to VNE's variants, such as service function chain deployment (SFC Deployment), network slicing, etc. - Gemin
In the field of NV, Network Slicing (NS) and Virtual Network Embedding (VNE) are important topics [2], [3]. NS refers to the concept of dividing a physical network into multiple VNs, each with its own network functions and resources, to meet the specific requirements of different use cas...
This class of algorithms is commonly known as "Virtual Network Embedding (VNE)" algorithms. This paper presents a survey of current research in the VNE area. Based upon a novel classification scheme for VNE algorithms a taxonomy of current approaches to the VNE problem is provided and ...
We address the virtual network embedding problem (VNE) which, given a physical (substrate) network and a collection of virtual networks (VNs), calls for an embedding of the most profitable subset of VNs onto the physical substrate, subject to capacity constraints. In practical applications, node...
Network virtualization is a vital technology that helps overcome shortcomings such as network ossification of the current Internet architecture. However, virtual network embedding (VNE) involving the allocation of resources for heterogeneous virtual network requests (VNRs) on the substrate network (SN) is...
In this section, we defines Q-learning and curiosity-driven for their application to VNE problem, and presents a description of the virtual network multi-objective embedding algorithm based on Q-learning and curiosity-driven (Q-CD-VNE). 4.1 VNE based on Q-learning algorithm We employed Q-learn...
Computer network virtualization and virtual network embedding (VNE) algorithms have gained significant attention in recent years. Performance evaluation of VNE algorithms mainly relies on discrete event simulations. However, modular and scalable VNE simulators are not available. In this paper, we describe...