Cloud operators utilize collective communication optimizers to enhance the efficiency of the
single-tenant, centrally managed training clusters they manage. However, current optimizers …

The rapid expansion of global cloud wide-area networks (WANs) has posed a challenge for
commercial optimization engines to efficiently solve network traffic engineering (TE) …

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 …

Scheduling a task graph representing an application over a heterogeneous network of
computers is a fundamental problem in distributed computing. It is known to be not only NP …

Many state-of-the-art Segment Routing (SR) Traffic Engineering (TE) algorithms rely on
Linear Program (LP)-based optimization. However, the poor scalability of the latter and the …

We propose a performance analysis tool for learning-enabled systems that allows operators
to uncover potential performance issues before deploying DNNs in their systems. The tools …

Resource allocation is fundamental for cloud systems to ensure efficient resource sharing
among tenants. However, the scale of such optimization problems has outgrown the …

Cooperative mobile robot systems have great potential to solve real-world problems but are,
in practice, limited by their physical capabilities, the environment in which they operate, and …

Resource management is ubiquitous in networked systems and ensures the effective
sharing of resources among various demands. Examples include traffic engineering, cluster …

As Internet usage increases day by day, efficient use of the infrastructure deployed by
Internet service providers has gained great importance. Traffic engineering applications …