Supporting Fine-Grained Network Functions through Intel DPDK

Cerrato, Ivano; Annarumma, Mauro; Risso, Fulvio

doi:10.1109/ewsdn.2014.33

Cited by 48 publications

(30 citation statements)

References 6 publications

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“…As we mentioned before, SDN and NFV are complementary technologies that can be applicable to different types of networks, from local networks and data centers to transport networks [538], [539], [540], [541], [542], [543]. Recently, several research initiatives have worked towards combining SDN and NFV through Intel's DPDK, a set of libraries and drivers that facilitates the development of network-intensive applications and allows the implementation of fine-grained network functions [544]. Early work towards service chaining have been proposed by combining SDN and NFV technologies [545], [546], [547], [27], [548], and studies around the ForCES's [30] applicability to SDN-enhanced NFV have also come to light [538].…”

Section: H Meeting Carrier-grade and Cloud Requirementsmentioning

confidence: 99%

Software-Defined Networking: A Comprehensive Survey

et al. 2015

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Abstract-The Internet has led to the creation of a digital society, where (almost) everything is connected and is accessible from anywhere. However, despite their widespread adoption, traditional IP networks are complex and very hard to manage. It is both difficult to configure the network according to predefined policies, and to reconfigure it to respond to faults, load and changes. To make matters even more difficult, current networks are also vertically integrated: the control and data planes are bundled together. Software-Defined Networking (SDN) is an emerging paradigm that promises to change this state of affairs, by breaking vertical integration, separating the network's control logic from the underlying routers and switches, promoting (logical) centralization of network control, and introducing the ability to program the network. The separation of concerns introduced between the definition of network policies, their implementation in switching hardware, and the forwarding of traffic, is key to the desired flexibility: by breaking the network control problem into tractable pieces, SDN makes it easier to create and introduce new abstractions in networking, simplifying network management and facilitating network evolution.In this paper we present a comprehensive survey on SDN. We start by introducing the motivation for SDN, explain its main concepts and how it differs from traditional networking, its roots, and the standardization activities regarding this novel paradigm. Next, we present the key building blocks of an SDN infrastructure using a bottom-up, layered approach. We provide an in-depth analysis of the hardware infrastructure, southbound and northbound APIs, network virtualization layers, network operating systems (SDN controllers), network programming languages, and network applications. We also look at cross-layer problems such as debugging and troubleshooting. In an effort to anticipate the future evolution of this new paradigm, we discuss the main ongoing research efforts and challenges of SDN. In particular, we address the design of switches and control platforms -with a focus on aspects such as resiliency, scalability, performance, security and dependability -as well as new opportunities for carrier transport networks and cloud providers. Last but not least, we analyze the position of SDN as a key enabler of a software-defined environment.

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Section: H Meeting Carrier-grade and Cloud Requirementsmentioning

confidence: 99%

Software-Defined Networking: A Comprehensive Survey

et al. 2015

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“…Ref. [4] proposes an efficient algorithm for the communication among different chained VNFs that are hosted by the same generic hardware, while Ref. [10] introduces an algorithm to efficiently handle traffic load variations by dynamically instantiating VNFs.…”

Section: Related Workmentioning

confidence: 99%

“…We show how the size and the number of VNFs sharing the same x86 hardware influence the hardware processing performance, and how the deployment in the network of multiple SCs using such VNFs is affected. Indeed, consolidating multiple VNFs in the same hardware leads to inefficiencies due to the need of saving/loading the context (i.e., the state) of the VNFs sharing the processing resources (context switching costs) [3] [4], as well as to inefficiencies due to the needs of VNF multi-core implementations (upscaling costs) [5]. To the best of our knowledge, this paper is the first study evaluating such processing-related costs in a VNF consolidation scenario.…”

Section: Introductionmentioning

confidence: 99%

Impact of processing costs on service chain placement in network functions virtualization

Savi

Tornatore

Verticale

2015

2015 IEEE Conference on Network Function Virtualization and Software Defined Network (NFV-SDN)

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Abstract-The Network Functions Virtualization (NFV) paradigm is the most promising technique to help network providers in the reduction of capital and energy costs. The deployment of virtual network functions (VNFs) running on generic x86 hardware allows higher flexibility than the classical middleboxes approach. NFV also reduces the complexity in the deployment of network services through the concept of service chaining, which defines how multiple VNFs can be chained together to provide a specific service. As a drawback, hosting multiple VNFs in the same hardware can lead to scalability issues, especially in the processing-resource sharing. In this paper, we evaluate the impact of two different types of costs that must be taken into account when multiple chained VNFs share the same processing resources: the upscaling costs and the context switching costs. Upscaling costs are incurred by VNFs multicore implementations, since they suffer a penalty due to the needs of load balancing among cores. Context switching costs arise when multiple VNFs share the same CPU and thus require the loading/saving of their context. We model through an ILP problem the evaluation of such costs and we show their impact in a VNFs consolidation scenario, when the x86 hardware deployed in the network is minimized.

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“…Some works were carried out in Network Functions virtualization(NFV) [9], based on primitives offered by Intel DPDK to build an architecture that can simultaneously handle throughput of multiple network virtualized functions [10]. Likewise, NetVM [11] is a new virtualization-based platform built on top of DPDK libraries and KVM environment [12].…”

Section: Related Workmentioning

confidence: 99%

Accelerating Packet Processing in a Xen Environment with OpenDataPlane

Braham¹,

Pujolle

2016

2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA)

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Abstract-Over recent years, packet processing acceleration has become a hot topic. Indeed, several software solutions have been developed to offer the best possible performance. Recently, a new open source project has started called OpenDataPlane (ODP), this framework provides a set of APIs, configuration files, and other functions to accelerate packet processing and manage effectively the networking data plane. In this paper, we present our new Xen architecture, implemented within Metamorphic Networks "MNet" platform that integrates ODP in a privileged domain, called driver domain. This architecture allows us to associate ODP with virtual CPU cores in order to accelerate packet processing and improve the performance of our platform, without adding overhead in physical processors. The results of our experiments show that our new architecture improves packet processing performance by 15%, only using the virtual CPU resources.

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Supporting Fine-Grained Network Functions through Intel DPDK

Cited by 48 publications

References 6 publications

Software-Defined Networking: A Comprehensive Survey

Software-Defined Networking: A Comprehensive Survey

Impact of processing costs on service chain placement in network functions virtualization

Accelerating Packet Processing in a Xen Environment with OpenDataPlane

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