We present a decade of evolution and production experience with Jupiter datacenter
network fabrics. In this period Jupiter has delivered 5x higher speed and capacity, 30 …

The precise estimation of resource usage is a complex and challenging issue due to the
high variability and dimensionality of heterogeneous service types and dynamic workloads …

The performance of many cloud-based applications critically depends on the capacity of the
underlying datacenter network. A particularly innovative approach to improve the throughput …

With the advent of 6G and its mission-critical and tactile Internet applications running in a
virtualized environment on the same physical infrastructure, even the shortest service …

The performance of large-scale computing systems often critically depends on high-
performance communication networks. Dynamically reconfigurable topologies, eg, based on …

Reconfigurable optical topologies promise to improve the performance in datacenters by
dynamically optimizing the physical network in a demand-aware manner. State-of-the-art …

The performance of distributed and data-centric applications often critically depends on the
interconnecting network. Emerging reconfigurable datacenter networks (RDCNs) are a …

Emerging reconfigurable datacenters allow to dynamically adjust the network topology in a
demand-aware manner. These datacenters rely on optical switches which can be …

This paper studies a fundamental algorithmic problem related to the design of demand-
aware networks: networks whose topologies adjust toward the traffic patterns they serve, in …

Circuit-switched technologies have long been proposed for handling high-throughput traffic
in datacenter networks, but recent developments in nanosecond-scale reconfiguration have …