Traffic Engineering (TE) is critical for improving network performance and reliability. A key
challenge in TE is the management of sudden traffic bursts. Existing TE schemes either do …

<? TeX 2pc 0pt?> Datacenter networks (DCNs) evolve over years and so comprise switches
from different generations. Thus, each stage/layer of the Clos fabric may consist of switches …

Data centers extensively employ topologies such as CLOS, BCube, and Xpander to manage
their large networks of devices. Data center networks (DCN), which rely on traditional …

We propose Machine Learning-based Monitoring Trail (mlm-trail) to monitor optical path
failures for large model training. Existing monitoring trail (m-trail) method can only localize …

Data centers serve as the backbone for cloud computing, enterprise services, and
infrastructure-based offerings. One area of ongoing research in data center networking …

Expander networks have gained attention as a cost-efficient alternative to expensive Clos
networks in data centers. However, they face challenges with deadlocks caused by the …

Unlike traditional data center traffic, AI training traffic primarily consists of large-size flows
that are fewer in number. This characteristic poses a challenge in balancing routing …