Building Blocks for an Elastic Mobile Core

Osmani, Lirim; Lindholm, Heikki; Chemmagate, Binoy; Rao, Ashwin; Tarkoma, Sasu; Heinonen, Johanna; Flinck, Hannu

doi:10.1145/2680821.2680832

Cited by 7 publications

(6 citation statements)

References 9 publications

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“…Although decentralizing the control plane would overcome the single point of failure, it still faces some other problems such as how to synchronize between controllers. Another way to solve this problem is proposed in [105] and [144] by introducing a signaling load balancer in the control plane. This problem will be discussed further in Section IX-B as one research direction for the future.…”

Section: Discussionmentioning

confidence: 99%

“…In terms of interfaces used between the control and user/data planes, OpenFlow and its variants are the most common protocols. Only research work presented in [105] used JSON-RPC to communicate between the control and user planes. For those using GTP tunnels as the mechanism to route the user data packets, the OpenFlow protocol needs to be extended with some more features like GTP matching fields and GTPrelated actions (e.g., encapsulate/decapsulate).…”

Section: A Sdn Onlymentioning

confidence: 99%

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

Nguyen

Brunström

Grinnemo

et al. 2017

IEEE Commun. Surv. Tutorials

280

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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Section: Discussionmentioning

confidence: 99%

Section: A Sdn Onlymentioning

confidence: 99%

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

Nguyen

Brunström

Grinnemo

et al. 2017

IEEE Commun. Surv. Tutorials

280

155

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“…As shown in Figure 1, in a coreless mobile network all of the network functionality is moved to the edge of the network. Our previous works which leverage the advances in software defined networking (SDN) and network function virtualization (NFV) show that it is indeed possible to build such a network [4], [5], [6]. This architecture follows along the themes of Mobile Edge Computing MEC [8], as well as the concept of a Shared Data Layer by Nokia [11].…”

Section: B Coreless Mobile Networkmentioning

confidence: 99%

“…We restrict the comparison to the chosen set of data stores because their data model most closely resembles the one desired by the coreless mobile network architecture. Specifically, we compare Apache Casandra, 3 Memcached, 4 Voldemort, 5 Google Spanner [14], Infinispan, 6 Apache Ignite, 7 HBase, 8 Redis, 9 Amazon Dynamo [13], and Apache Geode. 10 For our work, we chose Apache Geode primarily because it supports delta updates, geolocation of data, and strong consistency.…”

Section: Comparison Of Nosql Storesmentioning

confidence: 99%

“…The key insights of their design involves splitting the control and data plane. Hampel et al [3], and Osmani et al [4] show that such a split is indeed possible. The insights from these works have been built upon to explore different ways in which the key network functions of the LTE core can be refactored and coalesced to optimize the cellular network [5], [6].…”

Section: Introductionmentioning

confidence: 95%

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NoSQL stores for coreless mobile networks

Ojala¹,

Rao

Flinck

et al. 2017

2017 IEEE Conference on Standards for Communications and Networking (CSCN)

Self Cite

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The goals of 5G networks-low latency, high bandwidth, and support for fast mobility-are non-trivial and they demand improvements across all involved technology fields. Researchers are therefore exploring approaches that leverage on network function virtualization and software-defined networking for meeting the demands of verticals expected to use 5G networks. One approach which appears promising is the concept of a coreless mobile network where the key network functions are placed at the edge of the network. In this article we focus on management of the user-context state in a coreless mobile network, and posit that these network functions can use a NoSQL data store for maintaining the user-context and other state variables. We first present an overview of promising NoSQL data stores and evaluate their suitability. We then present the results of benchmarking the Apache Geode data store as an example of a state management solution which could serve a coreless mobile network. During our tests we observe that the Apache Geode data store is, subject to its configuration, capable of delivering the data model, consistency, and high availability required by a coreless mobile network.

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A survey of longitudinal changes in cellular network architecture: The good, the bad, and the ugly

Dwivedi

Chakraborty

2022

Journal of Network and Computer Applications

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Building Blocks for an Elastic Mobile Core

Cited by 7 publications

References 9 publications

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

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

NoSQL stores for coreless mobile networks

A survey of longitudinal changes in cellular network architecture: The good, the bad, and the ugly

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