Near-Optimal Placement of Virtualized EPC Functions with Latency Bounds

Dietrich, David; Papagianni, Chrysa; Papadimitriou, Panagiotis; Baras, John S.

doi:10.1007/978-3-319-67235-9_13

Cited by 2 publications

(2 citation statements)

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“…In [36], Bagaa et al address the placement of virtual instances of 4G (MME, SGW, PGW) and 5G (AMF, SMF and AUSF) core network elements over a federated cloud based on Mixed Integer Linear Programming and coalitional formation game. Finally, Dietrich et al [37] formulate a mixed-integer linear program for the vSGW and vMME embedding. To reduce its time complexity, they transform it into a linear program by employing relaxation and rounding techniques.…”

Section: T (Max) Ifmentioning

confidence: 99%

“…11c and 12c. In scenarios where the candidate ECs have a limited capacity, the distributed approach, included in PES, would improve the request acceptance and infrastructure utilization [37]. It is also appropriate for the planning of large geographical areas where the centralized approach could not meet the delay constraints, due to the high propagation delays.…”

Section: B Epc Network Slices Planningmentioning

confidence: 99%

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A Complete LTE Mathematical Framework for the Network Slice Planning of the EPC

Prados-Garzon

Laghrissi

Bagaa

et al. 2020

IEEE Trans. on Mobile Comput.

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5G is the next telecommunications standards that will enable the sharing of physical infrastructures to provision ultra short-latency applications, mobile broadband services, Internet of Things, etc. Network slicing is the virtualization technique that is expected to achieve that, as it can allow logical networks to run on top of a common physical infrastructure and ensure service level agreement requirements for different services and applications. In this vein, our paper proposes a novel and complete solution for planning network slices of the LTE EPC, tailored for the enhanced Mobile BroadBand use case. The solution defines a framework which consists of: i) an abstraction of the LTE workload generation process, ii) a compound traffic model, iii) performance models of the whole LTE network, and iv) an algorithm to jointly perform the resource dimensioning and network embedding. Our results show that the aggregated signaling generation is a Poisson process and the data traffic exhibits self-similarity and long-range-dependence features. The proposed performance models for the LTE network rely on these results. We formulate the joint optimization problem of resources dimensioning and embedding of a virtualized EPC and propose a heuristic to solve it. By using simulation tools, we validate the proper operation of our solution.

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Section: T (Max) Ifmentioning

confidence: 99%

Section: B Epc Network Slices Planningmentioning

confidence: 99%