Performance Analysis of Software-Defined Networking (SDN)

Gelberger, Alexander; Yemini, Niv; Giladi, Ran

doi:10.1109/mascots.2013.58

Cited by 70 publications

(21 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Our work builds on a rich literature on network measurements and modeling. Both the control plane [22,36,38,53] and data plane [7,13,15,24,28] performance of programmable switches have been investigated. Whereas these studies are consistent with our analysis of carrier-grade switches in §2.3, the prior work does not consider low-cost devices.…”

Section: Related Workmentioning

confidence: 99%

Loko

Bemten

Dstrok

Eric

et al. 2019

Proceedings of the 15th International Conference on Emerging Networking Experiments and Technologies

View full text Add to dashboard Cite

A predictable network performance is mission critical for many applications and yet hard to provide due to difficulties in modeling the behavior of the increasingly complex network equipment. This paper studies the problem of providing deterministic latency guarantees in small networks based on low-capacity hardware (e.g., in-cabin and industrial networks): such networks are of increasing importance, need to meet stringent performance requirements, but have hardly been explored so far. Our main contribution is the design, implementation, and evaluation of Loko, a system which provides predictable latency guarantees in programmable networks using low-cost hardware. Loko relies on a novel measurement-based methodology and uses deterministic network calculus to derive a reliable performance model of a given switch. To this end, we also show that state-of-the-art models in the literature like QJump and Silo fall short to model the behavior of such switches, due to incorrect architectural and performance assumptions. As a case study, we implement Loko for the Zodiac FX switch. Our experiments are encouraging: we find that the derived models are indeed accurate, allowing Loko to provide deterministic end-to-end guarantees with low-cost programmable devices.

show abstract

Section: Related Workmentioning

confidence: 99%

Loko

Bemten

Dstrok

Eric

et al. 2019

Proceedings of the 15th International Conference on Emerging Networking Experiments and Technologies

View full text Add to dashboard Cite

show abstract

“…Forwarding Separation Based on Software-defined Network (SDN) technology [25], the wireless smart meter network is decoupled into two parts: control plane and data plane. Furthermore, control plane gives the network control decision through the global network view, and then directly sends it to data plane.…”

Section: Secure Routing Architecture Based On Control Andmentioning

confidence: 99%

SRDA: A Secure Routing and Data Aggregation Approach for Wireless Smart Meter

Wan¹,

Shang²,

Zeng³

et al. 2016

jcm

View full text Add to dashboard Cite

Abstract-For the secure two-way communication and forwarding, this paper proposes SRDA, a secure routing and data aggregation approach for wireless smart meter. This approach introduces the unique wireless smart meter identifier to represent its public identity information, and gives a secure routing architecture based on control and forwarding separation. In this architecture, SRDA uses the proxy re-encryption data aggregation algorithm to protect security of data transmission. By using the routing algorithm according to distance and link quality, SRDA achieves the best routing path and provides several alternative paths which have different priorities. Besides, the identifier-based cryptography mechanism is used to issue and update the routing information in security, and the proxy reencryption mechanism is designed to preserve the data privacy. In conclusion, this paper gives an analysis for the relatively excellent security, scalability and energy efficiency.  Index Terms-Wireless smart meter identifier, secure routing and data aggregation, control and forwarding separation, identifier-based cryptography mechanism

show abstract

“…Nevertheless, this technology has not yet matured so that current operators are faced with high complexity instead of easy management and easy building of network architecture 17 . Another point of view states that software defined networking may currently be a well-established standard in certain enterprises and industries, but applying this technology still requires a completely new pool of know-how when it comes to architectural updates on the operators' side and to additional overhead meeting current devices in current networks 18,19 . Specific examples of required know-how are the deployment of middle boxes in choke points and managing of traffic isolation in networks 20 .…”

Section: Software Defined Networking: Challenge -Know-howmentioning

confidence: 99%

A Literature Review on Challenges and Effects of Software Defined Networking

Horvath¹,

Nedbal²,

Stieninger³

2015

Procedia Computer Science

View full text Add to dashboard Cite

Network technologies have always been a crucial part of success for technologies like cloud computing. But due to the slow development of a scalable IT infrastructure, this can lead to issues in competitiveness. Software defined networking (SDN) can thereby counteract such issues by giving new functions to the whole network topology. With SDN, administrators have the possibility to abstract the underlying network infrastructure for applications and network services. The paper reports on the main outcomes of a systematic literature review on challenges and effects of SDN. It shows that most papers address the implementation of software defined networking as a challenge, including factors like vendor lock-in and the general risk of changing traditional network architectures. Attention is also given to security issues arising with software defined networks and the permanent high demand from the end-user combined with the fear of changing traditional networks. Issues dealing with specialized know-how were identified as another challenge category. Effects of SDN are discussed by defining unique features of SDN like decoupling hardware from the software and the global view of the whole network architecture. SDN furthermore affects the management of the network, including changes in deployment of policies, the programmability and maintenance of the network. Economic factors, such as cost efficiency and reduction of costs, are also discussed.

show abstract

Performance Analysis of Software-Defined Networking (SDN)

Cited by 70 publications

References 5 publications

Loko

Loko

SRDA: A Secure Routing and Data Aggregation Approach for Wireless Smart Meter

A Literature Review on Challenges and Effects of Software Defined Networking

Contact Info

Product

Resources

About