Marco Chiesa

About Marco Chiesa

Marco Chiesa, With an exceptional h-index of 19 and a recent h-index of 17 (since 2020), a distinguished researcher at Kungliga Tekniska högskolan, specializes in the field of Networked systems, algorithms.

His recent articles reflect a diverse array of research interests and contributions to the field:

Deploying Stateful Network Functions Efficiently using Large Language Models

Oscilloscope: Detecting BGP Hijacks in the Data Plane

A {High-Speed} Stateful Packet Processing Approach for Tbps Programmable Switches

Millions of Low-latency State Insertions on ASIC Switches

A survey of fast recovery mechanisms in the data plane

FMM-Head: Enhancing Autoencoder-based ECG anomaly detection with prior knowledge

Making network configuration human friendly

On the Effectiveness of BGP Hijackers That Evade Public Route Collectors

Marco Chiesa Information

University

Position

___

Citations(all)

1388

Citations(since 2020)

960

Cited By

745

hIndex(all)

19

hIndex(since 2020)

17

i10Index(all)

30

i10Index(since 2020)

23

Email

University Profile Page

Google Scholar

Marco Chiesa Skills & Research Interests

Networked systems

algorithms

Top articles of Marco Chiesa

Deploying Stateful Network Functions Efficiently using Large Language Models

2024/4/22

Alireza Farshin
Alireza Farshin

H-Index: 4

Marco Chiesa
Marco Chiesa

H-Index: 12

Oscilloscope: Detecting BGP Hijacks in the Data Plane

arXiv preprint arXiv:2301.12843

2023/1/30

Marco Chiesa
Marco Chiesa

H-Index: 12

Stefano Vissicchio
Stefano Vissicchio

H-Index: 20

A {High-Speed} Stateful Packet Processing Approach for Tbps Programmable Switches

2023

Tom Barbette
Tom Barbette

H-Index: 5

Marco Chiesa
Marco Chiesa

H-Index: 12

Millions of Low-latency State Insertions on ASIC Switches

Proceedings of the ACM on Networking

2023/11/28

Marco Chiesa
Marco Chiesa

H-Index: 12

A survey of fast recovery mechanisms in the data plane

Authorea Preprints

2023/11/8

FMM-Head: Enhancing Autoencoder-based ECG anomaly detection with prior knowledge

arXiv preprint arXiv:2310.05848

2023/10/6

Making network configuration human friendly

arXiv preprint arXiv:2309.06342

2023/9/12

On the Effectiveness of BGP Hijackers That Evade Public Route Collectors

IEEE Access

2023/3/23

Marco Chiesa
Marco Chiesa

H-Index: 12

Stefano Vissicchio
Stefano Vissicchio

H-Index: 20

Network Monitoring on Multi-Pipe Switches

Proceedings of the ACM on Measurement and Analysis of Computing Systems

2023/2/28

Marco Chiesa
Marco Chiesa

H-Index: 12

Fast Server Learning Rate Tuning for Coded Federated Dropout

2022/7/23

Packet order matters! improving application performance by deliberately delaying packets

2022

Heavy hitter detection on multi-pipeline switches

2021/12/13

Marco Chiesa
Marco Chiesa

H-Index: 12

Cheetah: A high-speed programmable load-balancer framework with guaranteed per-connection-consistency

IEEE/ACM Transactions on Networking

2021/9/29

Tom Barbette
Tom Barbette

H-Index: 5

Marco Chiesa
Marco Chiesa

H-Index: 12

High-speed Connection Tracking in Modern Servers

2021/6/7

Desi: A decentralized software-defined network architecture for internet exchange points

IEEE Transactions on Network Science and Engineering

2021/5/21

Predicting CPU usage for proactive autoscaling

2021/4/26

Marco Chiesa
Marco Chiesa

H-Index: 12

What you need to know about (smart) network interface cards

2021/3/29

Tom Barbette
Tom Barbette

H-Index: 5

Marco Chiesa
Marco Chiesa

H-Index: 12

Fast ReRoute on programmable switches

IEEE/ACM Transactions on Networking

2021/1/6

Poster: Smart BGP Hijacks that Evade Public Route Collectors

2021

Stateless cpu-aware datacenter load-balancing

2020/11/23

Tom Barbette
Tom Barbette

H-Index: 5

Marco Chiesa
Marco Chiesa

H-Index: 12

See List of Professors in Marco Chiesa University(Kungliga Tekniska högskolan)

Co-Authors

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