Software Defined Monitoring of application protocols

Kekely, Lukáš; Pus, Viktor; Kořenek, Jan

doi:10.1109/infocom.2014.6848110

Cited by 16 publications

(4 citation statements)

References 5 publications

(4 reference statements)

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“…Based on different studies and analysis [1], [7], [15], [16], SDM possesses series of desirable features that can spur its large scale adoption in network monitoring of the next generation networks. However, some potential challenges exist in the following main areas: On the other hand, it is also challenging to find the optimum number of controllers and the best location for each controller.…”

Section: Challenges Of Sdmmentioning

confidence: 99%

Software Defined Monitoring (SDM) for 5G mobile backhaul networks

Liyanage

Okwuibe

Ahmed

et al. 2017

2017 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN)

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Defined Networking (SDN) and Network Function Virtualization (NFV) concepts [1], [2]. These concepts can also be used to overcome the limitations of the legacy monitoring systems.In this paper, we highlight the limitations of legacy monitoring systems in present mobile backhual networks. Then, we propose a novel Software Defined Monitoring (SDM) architecture to overcome these limitations in 5G networks. We propose necessary modifications to Software Defined Mobile Network (SDMN) architecture to implement the SDM framework. We also present specific opportunities, vulnerabilities as well as challenges related to SDM. Finally, we implement the proposed SDM architecture on a testbed to verify its feasibility.The rest of this paper is organized as follows, Section II discusses the limitations of legacy monitoring techniques and how SDN/NFV features can be used to solve these limitations. Section III presents the proposed SDM architecture and its key components. The experiment results and the expected advantages of SDM are discussed in Sections IV and V respectively. Section VI describes different challenges of SDM while Section VII concludes the article. II. LIMITATIONS OF CURRENT MONITORING TECHNIQUESThe legacy monitoring systems have a number of limitations, such as high complexity which makes them difficult to deploy and maintain, high provisioning and operational costs due to the distributed infrastructure. The currently used vendor-specific monitoring systems come with hardwired operational logic in their firmwares, this means that changes in such legacy monitoring system either require complex configurations or changes in the firmware. As a result, these systems lack flexibility and cannot cope with the dynamic changes in network conditions [3], [4].Traditional networks comprise many autonomous chunks of networked systems where a change in some parameters can induce undesirable effects on the overall network state. Moreover, there is no global visibility of the network state in current networks. This leads to localized decision-making at multiple points in the network. Hence, synchronizing a huge number of monitoring decisions is a daunting task for both network management and monitoring systems. Autonomous perimeter-based security policies further complicate deploying Abstract-Software Defined Network (SDN) is an advanced approach to designing dynamic, manageable, cost-effective, and adaptable network architectures. SDN will play a key role as an enabler for 5G and future networks. Transferring network monitoring functions to a software entity working in conjunction with configurable hardware accelerators through a scheme called Software Defined Monitoring (SDM) is one promising way to attain the dynamism necessary for the monitoring of the next generation-networks. In this paper, we propose a novel SDM architecture for future mobile backhual networks. As an SDN solution, the proposed architecture provides more granular and dynamic network management functions through its programmable interface, centralized con...

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Section: Challenges Of Sdmmentioning

confidence: 99%

Software Defined Monitoring (SDM) for 5G mobile backhaul networks

Liyanage

Okwuibe

Ahmed

et al. 2017

2017 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN)

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“…Software Defined Monitoring (SDM), initially proposed in [3] and here presented by Lukáš Kekely, Viktor Puš and Jan Koěnek from CESNET, is a trade-off between software and hardware monitoring. Although SDM borrows the general idea of the uprising Software-Defined Networking (SDN) paradigm, these two do not overlap.…”

Section: Software-defined Monitoringmentioning

confidence: 99%

Flow-Based Network Management: A Report from the IRTF NMRG Workshop

2016

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“…Few solutions exist to facilitate access of network engineers to FPGA systems. In [4], a packet processing architecture is able to forward results to the host at 100 Gb/s. Once configured, only the rule set can be configured.…”

Section: Introductionmentioning

confidence: 99%

Combining FPGAs and processors for high-throughput forensics IEEE CNS 17 poster

Cornevaux-Juignet

Arzel

Horrein

et al. 2017

2017 IEEE Conference on Communications and Network Security (CNS)

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Data centers availability is mandatory and is conditioned by a quick response to failures and attacks thanks to efficient live forensics. However, this task is lately impossible to complete with classic systems because of encountered data rates and service diversity. Moreover, Software-Defined Networking (SDN) devices agility requirements prevent the use of Application Specific Integrated Circuits (ASIC) solutions due to long development time. New solutions of smart Network Interface Cards (NIC) with embedded Field Programmable Gate Arrays (FPGA) are considered, as in Microsoft Azure solution. FPGAs ensure high throughput processings without packet loss to offload CPU processing, but their configurations support only sparse firmware upgrades and shut down processings. This paper proposes an hybrid architecture to realize agile high performance traffic forensics. This work combines hardware performance, high throughput, and software high flexibility to achieve data rates beyond 40 Gb/s while being configurable at runtime through parameters. A software API allows a userfriendly configuration without stopping processings. The implementation of a flexible packet parser, first block of the packet processing chain, demonstrates the viability of the concept.

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Software Defined Monitoring of application protocols

Cited by 16 publications

References 5 publications

Software Defined Monitoring (SDM) for 5G mobile backhaul networks

Software Defined Monitoring (SDM) for 5G mobile backhaul networks

Flow-Based Network Management: A Report from the IRTF NMRG Workshop

Combining FPGAs and processors for high-throughput forensics IEEE CNS 17 poster

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