Johannes Zerwas

Orcid: 0000-0003-3137-7305

According to our database1, Johannes Zerwas authored at least 33 papers between 2015 and 2024.

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Bibliography

2024
When TCP Meets Reconfigurations: A Comprehensive Measurement Study.
IEEE Trans. Netw. Serv. Manag., April, 2024

D3: An Adaptive Reconfigurable Datacenter Network.
CoRR, 2024

2023
Mistill: Distilling Distributed Network Protocols From Examples.
IEEE Trans. Netw. Serv. Manag., December, 2023

Duo: A High-Throughput Reconfigurable Datacenter Network Using Local Routing and Control.
Proc. ACM Meas. Anal. Comput. Syst., March, 2023

Design and Evaluation of Demand- and Topology Reconfiguration-aware Networks.
PhD thesis, 2023

HyPA: Hybrid Horizontal Pod Autoscaling with Automated Model Updates.
Proceedings of the IEEE Conference on Network Function Virtualization and Software Defined Networks, 2023

Towards Digital Network Twins: Can we Machine Learn Network Function Behaviors?
Proceedings of the 9th IEEE International Conference on Network Softwarization, 2023

AdFAT: Adversarial Flow Arrival Time Generation for Demand-Oblivious Data Center Networks.
Proceedings of the 19th International Conference on Network and Service Management, 2023

2022
On the Benefits of Joint Optimization of Reconfigurable CDN-ISP Infrastructure.
IEEE Trans. Netw. Serv. Manag., 2022

Resilient Control Plane Design for Virtualized 6G Core Networks.
IEEE Trans. Netw. Serv. Manag., 2022

Kevin: de Bruijn-based topology with demand-aware links and greedy routing.
CoRR, 2022

KAPETÁNIOS: Automated Kubernetes Adaptation through a Digital Twin.
Proceedings of the 13th International Conference on Network of the Future, 2022

On the Performance of TCP in Reconfigurable Data Center Networks.
Proceedings of the 18th International Conference on Network and Service Management, 2022

2021
Cerberus: The Power of Choices in Datacenter Topology Design - A Throughput Perspective.
Proc. ACM Meas. Anal. Comput. Syst., 2021

What You Need to Know About Optical Circuit Reconfigurations in Datacenter Networks.
Proceedings of the 33rd International Teletraffic Congress ITC 2021, Avignon, France, August 31, 2021

Modeling the Cost of Flexibility in Communication Networks.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

Network Traffic Characteristics of Machine Learning Frameworks Under the Microscope.
Proceedings of the 17th International Conference on Network and Service Management, 2021

ExRec: Experimental Framework for Reconfigurable Networks Based on Off-the-Shelf Hardware.
Proceedings of the ANCS '21: Symposium on Architectures for Networking and Communications Systems, Layfette, IN, USA, December 13, 2021

2020
Alert-Based Network Reconfiguration and Data Evacuation.
Proceedings of the Guide to Disaster-Resilient Communication Networks, 2020

Performance Analysis of Demand-Oblivious and Demand-Aware Optical Datacenter Network Designs.
CoRR, 2020

A mathematical framework for measuring network flexibility.
Comput. Commun., 2020

2019
Ismael: Using Machine Learning to Predict Acceptance of Virtual Clusters in Data Centers.
IEEE Trans. Netw. Serv. Manag., 2019

NetBOA: Self-Driving Network Benchmarking.
Proceedings of the 2019 Workshop on Network Meets AI & ML, 2019

Steering hyper-giants' traffic at scale.
Proceedings of the 15th International Conference on Emerging Networking Experiments And Technologies, 2019

Loko: predictable latency in small networks.
Proceedings of the 15th International Conference on Emerging Networking Experiments And Technologies, 2019

2018
Empowering Self-Driving Networks.
Proceedings of the Afternoon Workshop on Self-Driving Networks, 2018

Modeling IP-to-IP Communication using the Weighted Stochastic Block Model.
Proceedings of the ACM SIGCOMM 2018 Conference on Posters and Demos, 2018

perfbench: A Tool for Predictability Analysis in Multi-Tenant Software-Defined Networks.
Proceedings of the ACM SIGCOMM 2018 Conference on Posters and Demos, 2018

AHAB: Data-Driven Virtual Cluster Hunting.
Proceedings of the 2018 IFIP Networking Conference and Workshops, 2018

NeuroViNE: A Neural Preprocessor for Your Virtual Network Embedding Algorithm.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

2016
Control Plane Latency With SDN Network Hypervisors: The Cost of Virtualization.
IEEE Trans. Netw. Serv. Manag., 2016

Optimization Models for Flexible and Adaptive SDN Network Virtualization Layers.
CoRR, 2016

2015
Pairing SDN with network virtualization: The network hypervisor placement problem.
Proceedings of the IEEE Conference on Network Function Virtualization and Software Defined Networks, 2015


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