Abstract Software-Defined Networking (SDN) is an evolutionary networking paradigm which
has been adopted by large network and cloud providers, among which are Tech Giants …

Reconfigurable optical networks have emerged as a promising technology to efficiently
serve the fast-growing traffic produced by the digital society. This paper provides a survey of …

We propose TopoOpt, a novel direct-connect fabric for deep neural network (DNN) training
workloads. TopoOpt co-optimizes the distributed training process across three dimensions …

Computer networks have become a critical infrastructure. In fact, networks should not only
meet strict requirements in terms of correctness, availability, and performance but they …

To keep up with the continuous growth in demand, cloud providers spend millions of dollars
augmenting the capacity of their wide-area backbones and devote significant effort to …

Emerging optical technologies introduce opportunities to recon gure network topologies at
runtime. The resulting topological exibilities can be exploited to design novel demand-aware …

The physical topology is emerging as the next frontier in an ongoing effort to render
communication networks more flexible. While first empirical results indicate that these …

Fiber optic cables connecting data centers are an expensive but important resource for large
organizations. Their importance has driven a conservative deployment approach, with …

The difficulty of building large data centers in dense metro areas is pushing big cloud
providers towards a different approach to scaling: multiple smaller data centers within tens of …

Fiber cut events reduce the capacity of wide-area networks (WANs) by several Tbps. In this
paper, we revive the lost capacity by reconfiguring the wavelengths from cut fibers into …