SDN and NFV Dynamic Operation of LTE EPC Gateways for Time-Varying Traffic Patterns

Basta, Arsany; Blenk, Andreas; Hoffmann, Marco; Morper, Hans Jochen; Hoffmann, K.; Kellerer, Wolfgang

doi:10.1007/978-3-319-16292-8_5

Cited by 17 publications

(19 citation statements)

References 13 publications

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“…The location of the host platform, i. e., cloud data centers, as well as the SDN network elements play a role on the placement decision. The placement can be determined by the operator's requirements, such as data or control-plane latency budgets [12], number of data centers, energy consumption [10] of the data centers or SDN network elements.…”

Section: Design and Placementmentioning

confidence: 99%

SDN and NFV in the mobile core: Approaches and challenges

Jarschel

Basta

Kellerer

et al. 2015

It - Information Technology

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The introduction of Software Defined Networking (SDN) and Network Functions Virtualization (NFV) has transformed the way networks will be built in the future. This development also applies to mobile networks and their evolution. How the SDN and NFV concepts will be integrated exactly is still an open research question with multiple approaches and techniques in discussion. This article provides an overview of the current discussion points with regard to development paths, building blocks, deployment scenarios, and the opportunities and challenges of the new concepts in the mobile core network context.

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Section: Design and Placementmentioning

confidence: 99%

SDN and NFV in the mobile core: Approaches and challenges

Jarschel

Basta

Kellerer

et al. 2015

It - Information Technology

Self Cite

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“…In research proposals such as Kempf et al [64], Nguyen and Kim [98], [99], Hampel et al [95], MobileFlow [120], Basta et al [121], [136], are keeping all control plane entities unchanged. In some research proposals such as SoftEPC [107], KLEIN [109], Baba et al [110], Hawilo et al [111], Kiess et al [112], Jeon et al [114], and FME [115], [116], the control plane entities and user plane entities are kept unchanged, they are only migrated from dedicated hardware to commodity servers.…”

Section: B Evolutionary Approachesmentioning

confidence: 99%

SDN/NFV-Based Mobile Packet Core Network Architectures: A Survey

Nguyen

Brunström

Grinnemo

et al. 2017

IEEE Commun. Surv. Tutorials

275

155

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The emergence of two new technologies, namely, software defined networking (SDN) and network function virtualization (NFV), have radically changed the development of network functions and the evolution of network architectures. These two technologies bring to mobile operators the promises of reducing costs, enhancing network flexibility and scalability, and shortening the time-to-market of new applications and services. With the advent of SDN and NFV and their offered benefits, the mobile operators are gradually changing the way how they architect their mobile networks to cope with ever-increasing growth of data traffic, massive number of new devices and network accesses, and to pave the way toward the upcoming fifth generation networking. This survey aims at providing a comprehensive survey of state-of-the-art research work, which leverages SDN and NFV into the most recent mobile packet core network architecture, evolved packet core. The research work is categorized into smaller groups according to a proposed four-dimensional taxonomy reflecting the: 1) architectural approach, 2) technology adoption, 3) functional implementation, and 4) deployment strategy. Thereafter, the research work is exhaustively compared based on the proposed taxonomy and some added attributes and criteria. Finally, this survey identifies and discusses some major challenges and open issues, such as scalability and reliability, optimal resource scheduling and allocation, management and orchestration, and network sharing and slicing that raise from the taxonomy and comparison tables that need to be further investigated and explored.

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“…Our previous work [44] models the traffic demand of each gateway in the core gateway network and considers the population of the city that is closest to the gateway and time. The traffic demand from each gateway is equally divided and forwarded to all the other gateways.…”

Section: B Realistic Traffic Generationmentioning

confidence: 99%

Toward a Flexible Design of SDN Dynamic Control Plane: An Online Optimization Approach

Varasteh

Kellerer

2019

IEEE Trans. Netw. Serv. Manage.

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With a centralized control over the forwarding devices and the embedded flows, Software Defined Networking promises to increase the flexibility of communication networks. Meanwhile, a dynamic control plane would adapt itself in a timely manner to sustain flow setup performance in the face of traffic variations. Such adaptation depends on a careful decision of the controller placement, which is challenging because we need to consider two contradictory objectives, namely the cost of operating the control plane and the cost of its adaptation. In this work, we model the problem of operating the control plane as a multi-period offline optimization problem to minimize the total cost induced by the flow setup performance and the control plane adaptation. We leverage the lookahead control scheme and decompose the intractable offline problem into smaller instances, which are solved in an online fashion efficiently with an algorithm based on simulated annealing. We perform extensive simulations on real world topologies and show that our proposed algorithm can reduce the total cost by up to 20% compared with the reference algorithms. Further, we analyze the need of frequent control plane adaptation, and compare different control plane design choices according to a novel flexibility measure.

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SDN and NFV Dynamic Operation of LTE EPC Gateways for Time-Varying Traffic Patterns

Cited by 17 publications

References 13 publications

SDN and NFV in the mobile core: Approaches and challenges

SDN and NFV in the mobile core: Approaches and challenges

SDN/NFV-Based Mobile Packet Core Network Architectures: A Survey

Toward a Flexible Design of SDN Dynamic Control Plane: An Online Optimization Approach

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