An efficient flow cache algorithm with improved fairness in Software-Defined Data Center Networks

Lee, Bu-Sung; Kanagavelu, Renuga; Aung, Khin Mi Mi

doi:10.1109/cloudnet.2013.6710553

Cited by 38 publications

(24 citation statements)

References 9 publications

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“…Some of them show how to use SDN as an additional defense measure to tackle security threats, due to the SDN support to new IDS [6][7], IPS [8], and DPI [9] solutions. Other proposals focus on analyzing SDN architectural vulnerabilities and proposing solutions [10] [11].…”

Section: Introductionmentioning

confidence: 99%

Analysis of SDN Contributions for Cloud Computing Security

Jesus

Silva

Júnior

et al. 2014

2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing

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Cloud infrastructures are composed fundamentally of computing, storage, and networking resources. In regards to network, Software-Defined Networking (SDN) has become one of the most important architectures for the management of networks that require frequent re-policing or re-configurations. Considering the already known security issues of Cloud Computing, SDN helps to give fast answers to emerging threats, but also introduces new vulnerabilities related to its own architecture. In this paper, we analyze recent security proposals derived from the use of SDN, and elaborate on whether it helps to improve trust, security and privacy in Cloud Computing. Moreover, we discuss security concerns introduced by the SDN architecture and how they could compromise Cloud services. Finally, we explore future security perspectives with regard to leveraging SDN benefits and mitigating its security issues.

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Section: Introductionmentioning

confidence: 99%

Analysis of SDN Contributions for Cloud Computing Security

Jesus

Silva

Júnior

et al. 2014

2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing

View full text Add to dashboard Cite

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“…An OpenFlow based testbed was built to carry out the performance study. The research work presented in this chapter has been published in [8].…”

Section: Discussionmentioning

confidence: 99%

“…It was shown that our proposal reduces the lookup time up to 50% when compared to the wild-card linear method. This research work has been summarized and published in [8].…”

Section: Discussionmentioning

confidence: 99%

“… 8. shows the effect of the cache size on the lookup time with wildcard-aware linear flow table and our proposed dynamic index hashing on the new architecture.…”

mentioning

confidence: 99%

“…In our simulation, it was shown that our cache design LLRU reduces the lookup time up to 50% when compared to wild-card linear method. Impact of cache bucket size[8] .…”

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confidence: 99%

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Software defined networking and virtual machine placement in data centers

Kanagavelu¹

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A flow analysis and preemption framework for periodic traffic in an SDN network

Bull

Murphy

Bruno

et al. 2018

Concurrency and Computation

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Software Defined Networking (SDN) utilises the concept of centralised command and control to significantly improve network manageability. However, this is at the expense of performance, with the controller(s) now being a bottleneck. This paper further develops the authors' concept of using a Preemptive Flow Installation Mechanism (PFIM) to improve SDN performance for periodic traffic by limiting the number of controller look-ups through predicting when a flow is likely to need a particular rule. Unlike previous work in this area, the paper uses real SDN hardware and a series of experiments containing varying amounts of temporally predictable and random flows, along with a modified version of the POX controller. The work goes on to discuss issues found pairing the controller with hardware, before presenting results that demonstrate that the system can detect majority of temporally periodic flows and preemptively install a flow rule, facilitating the performance comparable to layer two switching speeds. The paper also suggests that the performance of the modified controller is approximately equivalent to the unmodified version when dealing with non-periodic traffic. KEYWORDSflow preemption, SDN controller, SDN testbed, software defined networking INTRODUCTIONSoftware Defined Networking (SDN) differs from the traditional approach to network design by abstracting the control element 1 away from individual data forwarding devices 2 or switches. Control functions are delivered to each device via centralised controllers by means of flow rules. As data is forwarded by switch devices that are essentially dumb, the costly, often proprietary, on-board control and management facilities can be dispensed with. This not only allows a more abstracted and controllable network, but has the potential to promote multi-vendor networks and limits the dominance of proprietary standards from any one manufacturer. Such advantages notwithstanding, this centralisation can lead to performance issues, due mainly to the controller being a locus for control functions. Such issues will be the focus of this work.This paper follows on from the works of Bull et al 3,4 in investigating the implications of Preemptive Flow Installation Mechanism (PFIM) in SDN environments. This paper extends this work by:1. Summarising previous performance improvement techniques used in SDN.2. Implementing an improved PFIM algorithm using SDN hardware, rather than in a simulator.3. Discussing the issues of moving from a simulated environment to real SDN hardware.4. Investigating the performance of the PFIM algorithm on real SDN hardware using a number of scenarios, comparing it to a standard SDN controller and a traditional layer two switch. Concurrency Computat Pract Exper. 2020;32:e4531. wileyonlinelibrary.com/journal/cpe FIGURE 1 The Architecture of an SDN BACKGROUNDTo obtain data forwarding decisions, SDN switches must communicate with centralised controllers. Such controllers transmit instructions back to the switch in the form of flow rules via the southbound i...

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An efficient flow cache algorithm with improved fairness in Software-Defined Data Center Networks

Cited by 38 publications

References 9 publications

Analysis of SDN Contributions for Cloud Computing Security

Analysis of SDN Contributions for Cloud Computing Security

Software defined networking and virtual machine placement in data centers

A flow analysis and preemption framework for periodic traffic in an SDN network

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