PINT: Probabilistic in-band network telemetry

R Ben Basat, S Ramanathan, Y Li, G Antichi… - Proceedings of the …, 2020 - dl.acm.org
Commodity network devices support adding in-band telemetry measurements into data
packets, enabling a wide range of applications, including network troubleshooting …

In-band network telemetry: A survey

L Tan, W Su, W Zhang, J Lv, Z Zhang, J Miao, X Liu… - Computer Networks, 2021 - Elsevier
With the development of software-defined network and programmable data-plane
technology, in-band network telemetry has emerged. In-band network telemetry technology …

CocoSketch: High-performance sketch-based measurement over arbitrary partial key query

Y Zhang, Z Liu, R Wang, T Yang, J Li, R Miao… - Proceedings of the …, 2021 - dl.acm.org
Sketch-based measurement has emerged as a promising alternative to the traditional
sampling-based network measurement approaches due to its high accuracy and resource …

Flow event telemetry on programmable data plane

Y Zhou, C Sun, HH Liu, R Miao, S Bai, B Li… - Proceedings of the …, 2020 - dl.acm.org
Network performance anomalies (NPAs), eg long-tailed latency, bandwidth decline, etc., are
increasingly crucial to cloud providers as applications are getting more sensitive to …

Digital twin for networking: A data-driven performance modeling perspective

L Hui, M Wang, L Zhang, L Lu, Y Cui - IEEE Network, 2022 - ieeexplore.ieee.org
Emerging technologies and applications make the network unprecedentedly complex and
heterogeneous, leading the network operations to be costly and risky. The digital twin …

Next-generation data center network enabled by machine learning: Review, challenges, and opportunities

H Dong, A Munir, H Tout, Y Ganjali - IEEE Access, 2021 - ieeexplore.ieee.org
Data center network (DCN) is the backbone of many emerging applications from smart
connected homes to smart traffic control and is continuously evolving to meet the diverse …

Taurus: a data plane architecture for per-packet ML

T Swamy, A Rucker, M Shahbaz, I Gaur… - Proceedings of the 27th …, 2022 - dl.acm.org
Emerging applications---cloud computing, the internet of things, and augmented/virtual
reality---demand responsive, secure, and scalable datacenter networks. These networks …

Homunculus: Auto-generating efficient data-plane ml pipelines for datacenter networks

T Swamy, A Zulfiqar, L Nardi, M Shahbaz… - Proceedings of the 28th …, 2023 - dl.acm.org
Support for Machine Learning (ML) applications in networking has significantly improved
over the last decade. The availability of public datasets and programmable switching fabrics …

Murphy: Performance diagnosis of distributed cloud applications

V Harsh, W Zhou, S Ashok, RN Mysore… - Proceedings of the …, 2023 - dl.acm.org
Modern cloud-based applications have complex inter-dependencies on both distributed
application components as well as network infrastructure, making it difficult to reason about …

Achelous: Enabling Programmability, Elasticity, and Reliability in Hyperscale Cloud Networks

C Wei, X Li, Y Yang, X Jiang, T Xu, B Yang… - Proceedings of the …, 2023 - dl.acm.org
Cloud computing has witnessed tremendous growth, prompting enterprises to migrate to the
cloud for reliable and on-demand computing. Within a single Virtual Private Cloud (VPC) …