Highly-Efficient and Adaptive Network Monitoring: When INT Meets Segment Routing

Zheng, Qitao; Tang, Shaofei; Chen, Bofan; Zhu, Zuqing

doi:10.1109/tnsm.2021.3069000

Cited by 22 publications

(2 citation statements)

References 43 publications

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“…In fact, they propose to adapt the monitoring frequency [28], [29], the granularity of traffic aggregate [30]- [32] (e.g., the session identifier used to group packets), and the features collected for monitoring [33]- [35] depending on decisions that rely on the undergoing networking situation. In [36], the authors propose a similar approach that enables the dynamic data plane program reconfiguration, but it builds upon a different technology (P4 7 ) that restricts data structures and extraction operations to traditional flow-table based aggregates, limiting the nature of the network monitoring. Finally, a solution for data centres network event monitoring at full line rate is proposed in [37], but it supports only a limited set of features and event definition.…”

Section: B Non-ebpf Based Approachesmentioning

confidence: 99%

A Control Plane Enabling Automated and Fully Adaptive Network Traffic Monitoring With eBPF

2022

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The extended Berkeley Packet Filter (eBPF) enables the dynamic injection of user-defined processing logic at run-time in the Linux networking stack without disrupting any active monitoring process. This enables the selective extraction of only the traffic features that are needed in a given instant of time, which is what we define fully adaptive network traffic monitoring. However, eBPF programs require adhoc control plane routines for each specific scenario in order to orchestrate the underlying data plane and export the required metrics, resulting in potentially duplicated source codes to maintain, and creating the risk of deploying, at runtime, unverified user-defined code that controls the devices running the monitoring process. This paper presents a control plane that automatically adapts both its management tasks and data extraction methodologies based on the underlying data plane provided by the user, who can merely focus on the monitoring logic definition. The paper evaluates the performance of the control plane's modules and demonstrates the advantages, in terms of processing speed and memory consumption, of a fullyadaptive monitoring approach with respect to nProbe (a state-of-the-art solution), an adaptive and a nonadaptive methodology in eBPF. Experiments prove that the control plane monitoring functionalities do not significantly affect the underlying data plane (0.15% degraded throughput) and leverage the most efficient extraction primitives (20x faster execution time), and show that the fully-adaptive monitoring leads to a higher number of processed packets (10x) and significantly lower memory occupancy (10x) when extracting the smallest set of features.

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Section: B Non-ebpf Based Approachesmentioning

confidence: 99%

A Control Plane Enabling Automated and Fully Adaptive Network Traffic Monitoring With eBPF

2022

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“…Finally, SDN has also stimulated the development of programmable data-plane equipment that can be configured to deploy new monitoring solutions. Paper [10] shows how data plane programmability can be leveraged to develop new in-band network telemetry solutions with low bandwidth overheads in the context of segment routing.…”

Section: B Resilient Software Defined Networkmentioning

confidence: 99%

Guest Editors’ Introduction: Special Section on Design and Management of Reliable Communication Networks

Tornatore

Gomes

Machuca

et al. 2021

IEEE Trans. Netw. Serv. Manage.

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This Special Issue contains a collection of outstanding papers covering several recent advances regarding the design and management of reliable networks. Papers are organized into seven categories: resilience in NFV-based networks; resilient software defined networks; resiliency of optical networks; Internet of Things and safety of critical services; automation and self-diagnostics for resilient network management, robust network design, and wireless and mobile network resilience. In this editorial, a brief overview of the field is given, followed by a summary of the twenty-six papers, accepted for publication in this special issue.

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Selective and on-demand network measurement with SRv6 and INT

et al. 2023

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Highly-Efficient and Adaptive Network Monitoring: When INT Meets Segment Routing

Cited by 22 publications

References 43 publications

A Control Plane Enabling Automated and Fully Adaptive Network Traffic Monitoring With eBPF

A Control Plane Enabling Automated and Fully Adaptive Network Traffic Monitoring With eBPF

Guest Editors’ Introduction: Special Section on Design and Management of Reliable Communication Networks

Selective and on-demand network measurement with SRv6 and INT

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