567 research outputs found
On The Modeling of OpenFlow-based SDNs: The Single Node Case
OpenFlow is one of the most commonly used protocols for communication between
the controller and the forwarding element in a software defined network (SDN).
A model based on M/M/1 queues is proposed in [1] to capture the communication
between the forwarding element and the controller. Albeit the model provides
useful insight, it is accurate only for the case when the probability of
expecting a new flow is small. Secondly, it is not straight forward to extend
the model in [1] to more than one forwarding element in the data plane. In this
work we propose a model which addresses both these challenges. The model is
based on Jackson assumption but with corrections tailored to the OpenFlow based
SDN network. Performance analysis using the proposed model indicates that the
model is accurate even for the case when the probability of new flow is quite
large. Further we show by a toy example that the model can be extended to more
than one node in the data plane.Comment: Published in Proceedings of CS & IT for NeCOM 201
An Empirical Model of Packet Processing Delay of the Open vSwitch
Network virtualization offers flexibility by decoupling virtual network from
the underlying physical network. Software-Defined Network (SDN) could utilize
the virtual network. For example, in Software-Defined Networks, the entire
network can be run on commodity hardware and operating systems that use virtual
elements. However, this could present new challenges of data plane performance.
In this paper, we present an empirical model of the packet processing delay of
a widely used OpenFlow virtual switch, the Open vSwitch. In the empirical
model, we analyze the effect of varying Random Access Memory (RAM) and network
parameters on the performance of the Open vSwitch. Our empirical model captures
the non-network processing delays, which could be used in enhancing the network
modeling and simulation
Endpoint-transparent Multipath Transport with Software-defined Networks
Multipath forwarding consists of using multiple paths simultaneously to
transport data over the network. While most such techniques require endpoint
modifications, we investigate how multipath forwarding can be done inside the
network, transparently to endpoint hosts. With such a network-centric approach,
packet reordering becomes a critical issue as it may cause critical performance
degradation.
We present a Software Defined Network architecture which automatically sets
up multipath forwarding, including solutions for reordering and performance
improvement, both at the sending side through multipath scheduling algorithms,
and the receiver side, by resequencing out-of-order packets in a dedicated
in-network buffer.
We implemented a prototype with commonly available technology and evaluated
it in both emulated and real networks. Our results show consistent throughput
improvements, thanks to the use of aggregated path capacity. We give
comparisons to Multipath TCP, where we show our approach can achieve a similar
performance while offering the advantage of endpoint transparency
An evolvable, scalable, and resilient control channel for software defined wireless access networks
AbstractThis paper presents a novel multipath communication-based OpenFlow channel for Software Defined Wireless Access Networks (SDWANs), namely mOpenFlow. The advantageous features of mOpenFlow include the following: (i) resilience and scalability in wireless environments, (ii) evolvability of the existing access networks and the OpenFlow standard, (iii) a novel network calculus-based model for performance analysis of mOpenFlow. By leveraging the multipath communication for conveying OpenFlow traffic, mOpenFlow enhances both robustness (i.e., resilience) and throughput (i.e., scalability) of the control channel. To achieve the evolvability, mOpenFlow adopts the multipath transport control protocol, which conforms to SDWANs and the OpenFlow standard. We evaluate mOpenFlow in an emulated SDWAN in relation to the standard channel. The results show that mOpenFlow outperforms the standard channel, both in terms of robustness and scalability. Additionally, the numerical results indicate that the model provides a fast and reliable way for analyzing the end-to-end delay on mOpenFlow
Will SDN be part of 5G?
For many, this is no longer a valid question and the case is considered
settled with SDN/NFV (Software Defined Networking/Network Function
Virtualization) providing the inevitable innovation enablers solving many
outstanding management issues regarding 5G. However, given the monumental task
of softwarization of radio access network (RAN) while 5G is just around the
corner and some companies have started unveiling their 5G equipment already,
the concern is very realistic that we may only see some point solutions
involving SDN technology instead of a fully SDN-enabled RAN. This survey paper
identifies all important obstacles in the way and looks at the state of the art
of the relevant solutions. This survey is different from the previous surveys
on SDN-based RAN as it focuses on the salient problems and discusses solutions
proposed within and outside SDN literature. Our main focus is on fronthaul,
backward compatibility, supposedly disruptive nature of SDN deployment,
business cases and monetization of SDN related upgrades, latency of general
purpose processors (GPP), and additional security vulnerabilities,
softwarization brings along to the RAN. We have also provided a summary of the
architectural developments in SDN-based RAN landscape as not all work can be
covered under the focused issues. This paper provides a comprehensive survey on
the state of the art of SDN-based RAN and clearly points out the gaps in the
technology.Comment: 33 pages, 10 figure
Addressing the Challenges in Federating Edge Resources
This book chapter considers how Edge deployments can be brought to bear in a
global context by federating them across multiple geographic regions to create
a global Edge-based fabric that decentralizes data center computation. This is
currently impractical, not only because of technical challenges, but is also
shrouded by social, legal and geopolitical issues. In this chapter, we discuss
two key challenges - networking and management in federating Edge deployments.
Additionally, we consider resource and modeling challenges that will need to be
addressed for a federated Edge.Comment: Book Chapter accepted to the Fog and Edge Computing: Principles and
Paradigms; Editors Buyya, Sriram
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