Improving SDN Scalability With Protocol-Oblivious Source Routing: A System-Level Study

Li, Shengru; Han, Kai; Ansari, Nirwan; Bao, Qinkun; Hu, Daoyun; Liu, Junjie; Yu, Shui; Zhu, Zuqing

doi:10.1109/tnsm.2017.2766159

Cited by 36 publications

(9 citation statements)

References 33 publications

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“…As all the instructions in POF-FIS locate data in packets with {offset, length} tuples, the POF switches can operate on any bits in packets, without being restricted by pre-defined protocols. Hence, POF can greatly enhance the data plane programmability for SDN, which has already been experimentally demonstrated in our previous studies [24]- [30]. However, as SR-PVX was developed based on OpenVirteX, it also takes the centralized architecture and cannot avoid the resulting reliability and scalability issues.…”

Section: Related Work a Network Virtualization Hypervisors (Nvhs)mentioning

confidence: 90%

“…The basic idea of POF is straightforward, i.e., it first abstracts all the packet fields to be processed in the data plane as {offset, length} tuples, where offset tells the start bit-location of a packet field and length indicates the field's length in bits, and then defines a flow instruction set (i.e., POF-FIS [16], [24]) to assist the packet processing in POF switches. As all the instructions in POF-FIS locate data in packets with {offset, length} tuples, the POF switches can operate on any bits in packets, without being restricted by pre-defined protocols.…”

Section: Related Work a Network Virtualization Hypervisors (Nvhs)mentioning

confidence: 99%

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Realizing Highly-Available, Scalable, and Protocol-Independent vSDN Slicing With a Distributed Network Hypervisor System

et al. 2018

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In this paper, we design and implement a distributed network virtualization hypervisor (NVH) system, namely, DPVisor, which can provide superior network programmability based on protocol-oblivious forwarding to realize highly-available, scalable, and protocol-independent virtual software-defined network slicing. The experimental comparisons indicate that DPVisor achieves comparable performance as ONVisor (i.e., an OpenFlow-based ONOS benchmark), in terms of the message processing latency, message processing throughput, and failure recovery time. Moreover, to optimize the performance of the distributed NVH systems, we carefully adjust the consistency model used in the state synchronization of NVH instances and propose a local cache-based scheme to balance the tradeoff between the consistency and availability of network status. Our experimental results confirm that the message processing throughput of the distributed NVH systems can be greatly improved (i.e., for both DPVisor and ONVisor), while the data consistency among NVH instances is still maintained well.INDEX TERMS Software-defined networking (SDN), network virtualization, distributed network hypervisor, consistency model, protocol-oblivious forwarding (POF).

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Section: Related Work a Network Virtualization Hypervisors (Nvhs)mentioning

confidence: 90%

Section: Related Work a Network Virtualization Hypervisors (Nvhs)mentioning

confidence: 99%

Realizing Highly-Available, Scalable, and Protocol-Independent vSDN Slicing With a Distributed Network Hypervisor System

et al. 2018

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“…For communication control policies, OpenFlow is used. Li et al [23] introduce Protocol Oblivious Source Routing (POSR), an SDN-based routing approach that they claim to be a protocolindependent and bandwidth-efficient packet forwarding approach. The packet format is also planned in tandem with unicast and multicast packet processing pipelines as well as recovery from link failure.…”

Section: A Pure Sdn-wmn Routing Architecturesmentioning

confidence: 99%

SDNMesh: An SDN Based Routing Architecture for Wireless Mesh Networks

et al. 2020

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Software Defined Networking (SDN) has been seen as a revolutionary and exciting network technology that aims to enable control and network management of various network types, whether wired or wireless. Nevertheless, SDN research focuses very little on wireless communication and, more specifically, on Wireless Mesh Networks (WMNs). Moreover, the issue of routing is vitally important in WMNs, but the legacy and traditional routing protocols cannot make the most of multiple paths between the source node and destination node due to the complexity and cost of the network. In this paper, we present SDNMesh, an SDN based routing architecture for WMNs. We combine SDN with WMN to allow mesh networks to meet current user requirements with several resources, coverage, and scalable high bandwidth capability. Apart from the mentioned capability, SDN's unified approach leads to better network capacity management. Experiments have been carried out using the Mininet-WiFi simulation tool to create a network environment that allows integration of the two networking paradigms, centralized, and decentralized. Simulation results show that our SDNMesh routing solution performs better in terms of network performance metric throughput, packet loss ratio, and delay while comparing with traditional routing approaches such as OLSR, BATMAN, and an SDN based Three-Stage routing protocols. Moreover, experimental results show that SDNMesh gives better results in terms of the mentioned performance metrics.

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“…Since the labels of the output links (denoted interface labels in the following) are local to a node, they can be represented by short bit vectors. For example, a node having 3 output paths can number them 0, 1 and 2 and thus, uses 2-bit vectors (00), ( 01) and (10) as interface labels to identify them. This principle, adopted by the authors in [14], uses short fixed-length interface labels.…”

Section: The Path Encoding Problemmentioning

confidence: 99%

“…Source routing technique gained in popularity in particular following the rapid spread of Software Defined Networking (SDN) paradigm as a scalable solution to deploy services in datacenters [2]. In particular, the authors in [10] illustrate that SDN-based source routing significantly decrease flow-states exchange by storing the path information into packet headers. Encoding the whole path inside a packet suppresses expensive lookup procedures inside core packet switches (e.g, link-layer switch or router) as each switch is able to quickly identify the next hop of the path stored in the packet.…”

Section: Introductionmentioning

confidence: 99%

XOR-based Source Routing

Lacan

Lochin

2020

2020 IEEE 21st International Conference on High Performance Switching and Routing (HPSR)

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We introduce a XOR-based source routing (XSR) scheme as a novel approach to enable fast forwarding and lowlatency communications. XSR uses linear encoding operation to both 1) build the path labels of unicast and multicast data transfers; 2) perform fast computational efficient routing decisions compared to standard table lookup procedure without any packet modification all along the path. XSR specifically focuses on decreasing the complexity of forwarding router operations. This allows packet switches (e.g, link-layer switch or router) to perform only simple linear operations over a binary vector label which embeds the path. XSR provides the building blocks to speed up the forwarding plane and can be applied to different data planes such as MPLS or IPv6. Compared to recent approaches based on modular arithmetic, XSR computes the smallest label possible and presents strong scalable properties allowing to be deployed over any kind of core vendor or datacenter networks. At last but not least, the same computed label can be used interchangeably to cross the path forward or reverse in the context of unicast communication.

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Improving SDN Scalability With Protocol-Oblivious Source Routing: A System-Level Study

Cited by 36 publications

References 33 publications

Realizing Highly-Available, Scalable, and Protocol-Independent vSDN Slicing With a Distributed Network Hypervisor System

Realizing Highly-Available, Scalable, and Protocol-Independent vSDN Slicing With a Distributed Network Hypervisor System

SDNMesh: An SDN Based Routing Architecture for Wireless Mesh Networks

XOR-based Source Routing

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