Maintaining high-performance operation under dynamic and nonuniform network traffic has
been a technical challenge in current data center networks (DCNs). With the aim to provide …

We present the network architecture of Alibaba Cloud DCs and investigate their traffic
characteristics based on statistical data and captured traces. The statistical coarse-grained …

With rapid development of cloud computing services, traffic in data centers (DCs) increases
dramatically. Top‐of‐rack Ethernet switches dominate network cost and energy …

A future data center network is expected to be constructed by a Clos network consisting of
optical-circuit switches to deal with traffic growth. A previous model addressed a Clos …

Networks are the well-known bottlenecks for distributed deep learning (DDL) jobs. The DDL
jobs require topologies matching their communication patterns as well as high and stable …

Distributed deep training has become a significant consumer of bandwidth across
datacenter-scale networks. The diverse parallel strategies employed in deep training require …

Due to the advantages of optical circuit switching (OCS), all-optical data center networks
(DCNs) have attracted intensive research interests recently. Hyper-FleX-LION is a highly …

Parallel computing allows us to process incredible amounts of data in a timely manner by
distributing the workload across multiple nodes and executing computation simultaneously …

The optical interconnection and switching technology has recently gained ground in the data
centers (DCs) globally. In this paper, we propose an optical network configuration to …