Self-managed resources in network virtualisation environments

Abstract

Abstract-Network virtualisation is a promising technique for dealing with the resistance of the Internet to architectural changes. This is achieved by enabling a novel business model in which infrastructure management is decoupled from service provision. One of the main challenges in network virtualisation is efficient sharing of physical network resources by the different virtual networks. This work contributes to efficient resource sharing in network virtualisation by dividing the resource management problem into three sub-problems: virtual network embedding (VNE), dynamic resource allocation (DRA), and virtual network survivability (VNS); and then proposing a solution for each one of them. Specifically, we propose a path generation-based approach for VNE, machine learning-based selfmanagement approaches for DRA, and a multi-entity negotiation algorithm for VNS. Through simulations, all our proposals are compared with related approaches, showing improvements in resource utilisation efficiency, which would directly result into better profitability for physical resource owners.

Design and evaluation of algorithms for mapping and scheduling of virtual network functions

“…Simulations are carried out for 1,500 service arrivals. The choice of these simulation parameters as well as their distribution are motivated by simulations and evaluations of a well studied and related virtual network embedding problem [13].…”

A Multidomain Survivable Virtual Network Mapping Algorithm

“…At this stage, there are a few studies; Papagianni et al [9] used the advantages and related principles of cloud computing to achieve the distribution of files between multiple geographies and the process of document distribution for the cloud computing in this paper is actually the realization of a multiarea information exchange. Mijumbi et al [8] also put forward using multidomain advantages to achieve resource allocation in the virtual network environment. Nonetheless, there are few existing literatures that really solve the problem of network mapping.…”

“…(3) WHILE (Virtual network events are not fully processed) (4) IF (The event type is a new virtual network request) (5) Calculate the GRC value of the physical node according to formula (1) (6) FOR (The number of virtual nodes) (7) FOR (The number of virtual links connected to the node) (8) The two nodes on the same virtual link are mapped in two different domain sub-networks. (9) IF (Cannot find a different sub-network) (10) Randomly select a domain network as a mapping network and put the candidate physical node number found in the In general, the network cost consists of two parts: the node resource and the link resource.…”

“…This paper refers to the relevant algorithms in the literature [8][9][10][11][12] and combines the multidomain mapping problem with the network survivability. We classify process as two stages, the resource classification process and the network mapping process, and the resource classification process is further divided into two parts, the primary flow and the backup flow resource, which can, respectively, form a complete underlying physical network topology.…”

An RBF neural network–based dynamic virtual network embedding algorithm

“…Dynamic resource allocation36 3.3 Dynamic resource allocation in VNEDynamic resource allocation in VNE draws attention from researchers and practitioners as it affects substrate resources utilization efficiency as well as the profit of InPs and SPs. Although the network service provider determines the number of virtual nodes' CPU and the bandwidth of virtual links, users are the real consumers that utilize network resources.…”