Multi-Resource Allocation for Network Slicing
Fossati, Francesca; Moretti, Stefano; Perny, Patrice; Secci, Stefano (2020), Multi-Resource Allocation for Network Slicing, IEEE/ACM Transactions on Networking, 28, 3, p. 1311-1324. 10.1109/TNET.2020.2979667
TypeArticle accepté pour publication ou publié
External document linkhttps://hal.archives-ouvertes.fr/hal-02008115
Journal nameIEEE/ACM Transactions on Networking
IEEE - Institute of Electrical and Electronics Engineers
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Abstract (EN)Among the novelties introduced by 5G networks, the formalization of the 'network slice' as a resource allocation unit is an important one. In legacy networks, resources such as link bandwidth, spectrum, computing capacity are allocated independently of each other. In 5G environments, a network slice is meant to directly serve end-to-end services, or verticals: behind a network slice demand, a tenant expresses the need to access a precise service type, under a fully qualified set of computing and network requirements. The resource allocation decision encompasses, therefore, a combination of different resources. In this paper, we address the problem of fairly sharing multiple resources between slices, in the critical situation in which the network does not have enough resources to fully satisfy slice demands. We model the problem as a multi-resource allocation problem, proposing a versatile optimization framework based on the Ordered Weighted Average (OWA) operator. We show how, adapting the OWA utility function, our framework can generalize classical single-resource allocation methods, existing multi-resource allocation solutions at the state of the art, and implement novel multi-resource allocation solutions. We compare analytically and by extensive simulations the different methods in terms of fairness and system efficiency. We conclude the paper adapting the proposed framework to Service Level Agreement (SLA)-driven services. Two algorithms, considering minimum capacity requirements and time-fairness are proposed and tested.
Subjects / Keywords5G slicing; OWA; multi-resource allocation
Showing items related by title and author.
Fossati, Francesca; Medhi, Deep; Moretti, Stefano; Secci, Stefano (2019) Article accepté pour publication ou publié