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Optimal resource allocation in Virtual Network Embedding
| Content Provider | Semantic Scholar |
|---|---|
| Author | Hollestein, M. |
| Copyright Year | 2019 |
| Abstract | Optimal resource allocation has become a focus in the technological environment due to the high costs associated with physical infrastructure and space. Furthermore, Network Operators (NO)s have to keep up with the rate of change in this digital age. This led to the creation of network virtualization. Virtualizing a network means that the functionality of the network becomes independent of the physical hardware that supports it. A significant advantage is that the same physical server can be used for several different purposes depending on the software installed to enable faster and more efficient communication. To prevent stagnation of internet infrastructure, Virtual Network Embedding (VNE) has emerged as a promising component of the future Internet. Virtual networks (VNs) still requires a substrate infrastructure and over-provisioning and non-optimal resource allocation are, therefore, still a critical consideration when implementing VNEs. Virtual network embedding refers to the instance where multiple virtual networks are hosted on the same substrate network (SN). VNE is thus the instance where various network nodes are installed on the same infrastructure; this enables shared capacity between them. When a change in demand is observed it is not necessary to purchase new network hardware, it is merely a matter of changing the software to balance the capacity between nodes dynamically. Internet Service Providers (ISPs) are currently viewed as two separate entities in order to provide dedicated networks and services separately. The Infrastructure Provider (InP)and the Service Provider (SP) are the central division in this new business model and rely on modern structures to provide services to clients. In this paper, a Mixed Integer Linear Program is proposed to model a VNE problem which includes off-line stochastic resource allocation (SRA). Two case studies are used in this dissertation. Case study A is used to verify the model and is a simple experiment with only ten nodes and three requests. Each of these requests comprises of two |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://repository.nwu.ac.za/bitstream/handle/10394/34167/7.1.11.7.4%20Hollestein%20M%2024215392.pdf?isAllowed=y&sequence=1 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
