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Optimal Network Slicing for Service-Oriented Networks with Flexible Routing and Guaranteed E2E Latency

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Document pages: 15 pages

Abstract: Network function virtualization is a promising technology to simultaneouslysupport multiple services with diverse characteristics and requirements in the5G and beyond networks. In particular, each service consists of a predeterminedsequence of functions, called service function chain (SFC), running on a cloudenvironment. To make different service slices work properly in harmony, it iscrucial to appropriately select the cloud nodes to deploy the functions in theSFC and flexibly route the flow of the services such that these functions areprocessed in the order defined in the corresponding SFC, the end-to-end (E2E)latency constraints of all services are guaranteed, and all cloud andcommunication resource budget constraints are respected. In this paper, wefirst propose a new mixed binary linear program (MBLP) formulation of the abovenetwork slicing problem that optimizes the system energy efficiency whilejointly considers the E2E latency requirement, resource budget, flow routing,and functional instantiation. Then, we develop another MBLP formulation andshow that the two formulations are equivalent in the sense that they share thesame optimal solution. However, since the numbers of variables and constraintsin the second problem formulation are significantly smaller than those in thefirst one, solving the second problem formulation is more computationallyefficient especially when the dimension of the corresponding network is large.Numerical results demonstrate the advantage of the proposed formulationscompared with the existing ones.

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