A Survey on Data Plane Flexibility and Programmability in Software-Defined Networking

Kaljić, Enio; Maric, Almir; Njemčević, Pamela; Hadžialić, Mesud

doi:10.1109/access.2019.2910140

Cited by 67 publications

(35 citation statements)

References 186 publications

(168 reference statements)

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“…Moreover, the term "Virtual Network Function (VNF)" refers to an NF that is implemented with the NFV methodology. Software Defined Networking (SDN) [6]- [9] is a paradigm in which a logically centralized software entity (i.e., the SDN controller) defines the packet processing functions on a packet forwarding node. The notion of centralized decision making for the function implementation and configuration of forwarding nodes implies that the network control plane (which makes the decisions on the packet processing) is decoupled from the network data plane (which forwards the packets).…”

Section: ) Network Functions (Nfs) and Network Function Virtualizatimentioning

confidence: 99%

Hardware-Accelerated Platforms and Infrastructures for Network Functions: A Survey of Enabling Technologies and Research Studies

2020

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In order to facilitate flexible network service virtualization and migration, network functions (NFs) are increasingly executed by software modules as so-called "softwarized NFs" on General-Purpose Computing (GPC) platforms and infrastructures. GPC platforms are not specifically designed to efficiently execute NFs with their typically intense Input/Output (I/O) demands. Recently, numerous hardwarebased accelerations have been developed to augment GPC platforms and infrastructures, e.g., the central processing unit (CPU) and memory, to efficiently execute NFs. This article comprehensively surveys hardware-accelerated platforms and infrastructures for executing softwarized NFs. This survey covers both commercial products, which we consider to be enabling technologies, as well as relevant research studies. We have organized the survey into the main categories of enabling technologies and research studies on hardware accelerations for the CPU, the memory, and the interconnects (e.g., between CPU and memory), as well as custom and dedicated hardware accelerators (that are embedded on the platforms); furthermore, we survey hardware-accelerated infrastructures that connect GPC platforms to networks (e.g., smart network interface cards). We find that the CPU hardware accelerations have mainly focused on extended instruction sets and CPU clock adjustments, as well as cache coherency. Hardware accelerated interconnects have been developed for on-chip and chip-to-chip connections. Our comprehensive up-to-date survey identifies the main trade-offs and limitations of the existing hardware-accelerated platforms and infrastructures for NFs and outlines directions for future research.

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Section: ) Network Functions (Nfs) and Network Function Virtualizatimentioning

confidence: 99%

Hardware-Accelerated Platforms and Infrastructures for Network Functions: A Survey of Enabling Technologies and Research Studies

2020

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“…In this work, network flexibility refers to the ability of a network to adapt its resources [23,24]. SR-DMM offers flexibility through SDN programmability.…”

Section: Sr-dmm Solutionmentioning

confidence: 99%

Towards a software-based mobility management for 5G: An experimental approach for flattened network architectures

Calle-Cancho¹,

Mendoza-Rubio

González-Sánchez³

et al. 2020

COMSIS J

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The number of mobile subscribers, as well as the data traffic generated by them, is increasing exponentially with the growth of wireless smart devices and the number of network services that they can support. This significant growth is pushing mobile network operators towards new solutions to improve their network performance and efficiency. Thus, the appearance of Software Defined Networking (SDN) can overcome the limitations of current deployments through decoupling the network control plane from the data plane, allowing higher flexibility and programmability to the network. In this context, the process of handling user mobility becomes an essential part of future mobile networks. Taking advantage of the benefits that SDN brings, in this article we present a novel mobility management solution. This proposal avoids the use of IP-IP tunnels and it adds the dynamic flow management capability provided by SDN. In order to analyse performance, an analytical model is developed to compare it with NB-DMM (Network-based DMM), one of the main DMM (Distributed Mobility Management) solutions. Additionally, performance is also evaluated with an experimental testbed. The results allow handover latency in real scenarios and numerical investigations to be measured, and also show that SR-DMM achieves better efficiency in terms of signaling and routing cost than NB-DMM solution.

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“…Some approaches like [116], [117] look at traffic flow routing with energy reduction as a focus. There are also SDN based algorithmic approaches in [118], [119], which have been looked at for energy efficiencies.…”

Section:  Virtualizationmentioning

confidence: 99%

Optimizing Energy Efficiencies in Cloud Data Center Resources with Availability Constraints

Phalachandra,

Sitaram

2020

IJEAT

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Cloud infrastructure Resources hosted in Data Centers, support the effective execution of Cloud computing applications. Given the increased adoption of the Cloud Computing Applications and the Businesses getting to be Data-driven, there is a huge increase in the number of Data Centers and the Size and amount of resources hosted in these Data Centers. These Data Center resources consume a significant amount of energy and this continuous scaling of the resources is leading to increased power consumption and a large carbon footprint. Given our fragile eco-system, optimization of the Data Center resources for energy conservation and thus the carbon footprint is the primary area of our focus. Businesses also need to satisfy QoS guarantees on Availability to their customers. Optimization towards Energy efficiencies may compromise on the Availability and thus may warrant a trade-off, and a need for them to be considered together. Although there have been numerous studies towards Energy efficiencies, most of them have been focused on only energy. In this paper, we initially segregate Optimization activities towards the Data Center resources like Compute, Network, and Storage. We then study the different control parameters or approaches which will lead to meeting the objectives of Energy Efficiencies, Availability and Energy Efficiency constrained with Availability. Thus, this will support the selection of approaches for the optimization of energy while meeting the QoS Availability requirement.

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A Survey on Data Plane Flexibility and Programmability in Software-Defined Networking

Cited by 67 publications

References 186 publications

Hardware-Accelerated Platforms and Infrastructures for Network Functions: A Survey of Enabling Technologies and Research Studies

Hardware-Accelerated Platforms and Infrastructures for Network Functions: A Survey of Enabling Technologies and Research Studies

Towards a software-based mobility management for 5G: An experimental approach for flattened network architectures

Optimizing Energy Efficiencies in Cloud Data Center Resources with Availability Constraints

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