The recent line of research into topology design focuses on lowering network diameter.
Many low-diameter topologies such as Slim Fly or Jellyfish that substantially reduce cost …

Accurate and fast data stream mining is critical and fundamental to many tasks, including
time series database handling, big data management and machine learning. Different heavy …

With the rapid growth of different massive applications and parallel flow requests in Data
Center Networks (DCNs), today's providers are confronting challenges in flow forwarding …

Due to the explosive growth of all kinds of Internet services, data centers have become an
irreplaceable and vital infrastructure to support this soaring trend. Compared with traditional …

Modern data center topologies often take the form of a multi-rooted tree with rich parallel
paths to provide high bandwidth. However, various path diversities caused by traffic …

In lossless data center networks (DCN), many existing congestion control schemes are used
to address the impact caused by priority-based flow control (PFC), such as congestion …

Mobile edge computing (MEC) is a novel computing paradigm that pushes computation and
storage resources to the edge of the network. The interconnection of edge servers forms …

The control of transmission rates is currently a major topic in network research, as it plays a
significant role in determining network performance. Traditional network design principles …

Modern data centers have widely deployed lots of cluster computing applications such as
MapReduce and Spark. Since the coflow/task abstraction can exactly express the …

Modern data center networks typically adopt multi-rooted tree topologies such leaf-spine
and fat-tree to provide high bisection bandwidth. Load balancing is critical to achieve low …