6 citations · 7 across the 7 of their papers we have counts for
7 papers
Harnessing Generative Pre-Trained Transformer for Datacenter Packet Trace Generation
Chen Griner
Today, the rapid growth of applications reliant on datacenters calls for new advancements to meet the increasing traffic and computational demands. Traffic traces from datacenters…
D3: An Adaptive Reconfigurable Datacenter Network
Johannes Zerwas, Chen Griner, Stefan Schmid +1
The explosively growing communication traffic in datacenters imposes increasingly stringent performance requirements on the underlying networks. Over the last years, researchers ha…
Integrated Topology and Traffic Engineering for Reconfigurable Datacenter Networks
Chen Griner, Chen Avin
The state-of-the-art topologies of datacenter networks are fixed, based on electrical switching technology, and by now, we understand their throughput and cost well. For the past y…
Self-Adjusting Ego-Trees Topology for Reconfigurable Datacenter Networks
Chen Griner, Gil Einziger, Chen Avin
State-of-the-art topologies for datacenters (DC) and high-performance computing (HPC) networks are demand-oblivious and static. Therefore, such network topologies are optimized for…
Performance Analysis of Demand-Oblivious and Demand-Aware Optical Datacenter Network Designs
Chen Griner, Johannes Zerwas, Andreas Blenk +3
This paper presents a performance analysis of the design space of optical datacenter networks, including both demand-oblivious (static or dynamic) and demand-aware networks. We for…
An Online Matching Model for Self-Adjusting ToR-to-ToR Networks
Chen Avin, Chen Griner, Iosif Salem +1
This is a short note that formally presents the matching model for the theoretical study of self-adjusting networks as initially proposed in [1].
Measuring the Complexity of Packet Traces
Chen Avin, Manya Ghobadi, Chen Griner +1
This paper studies the structure of several real-world traces (including Facebook, High-Performance Computing, Machine Learning, and simulation generated traces) and presents a sys…