Name
Abstract | ||
|---|---|---|
Malicious co-residency in virtualized networks poses a real threat. The next-generation mobile networks heavily rely on virtualized infrastructure, and network slicing has emerged as a key enabler to support different virtualized services and applications in the 5G network. However, allocating network slices efficiently while providing a minimum guaranteed level of service, as well as providing defense against the threat of malicious co-residency in a mobile core network, is challenging. To address these questions, in our previous work, we proposed an optimization model to allocate slices. It provided a static and manual allocation of slices. In this work, we analyze the defense against the malicious co-residency using our optimization-based allocation, and we extend our work to dynamically allocate slices. We propose a dynamic slice allocation framework for the 5G core network. The proposed framework provides user-interaction to request slices and any required services that need to run on a slice(s). It can accept a single or multiple allocation requests, and it dynamically allocates them. Additionally, the framework allocates slices in a balanced fashion across available resources. We compare our framework with the First Come First Serve and First Available allocation scheme. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/ISNCC49221.2020.9297185 | 2020 International Symposium on Networks, Computers and Communications (ISNCC) |
Keywords | DocType | ISBN |
5G slicing,network slicing,5G availability,5G optimization,slice allocation,co-location | Conference | 978-1-7281-5629-3 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Danish Sattar | 1 | 10 | 3.58 |
| Ashraf Matrawy | 2 | 146 | 26.98 |