Nowadays data center networks (DCNs) should handle the ever‐growing load generated by
diverse applications. It particularly occurs under concurrent flow requests and so‐called …

Today's data centers act as the primary infrastructure for emerging technologies. QoS
imposes requirements for more attentive techniques that can deal with different …

In order to solve the problem of low throughput and poor performance in data center
network, this paper proposes a traffic scheduling algorithm exploiting fuzzy logic inference …

The dissertation presents different solutions in the field of traffic congestion control of data
center networks. We aim to improve flow completion time of mice flows and preserve the …

Large‐scale online services and distributed execution engines (ie, MapReduce and Dryad)
generate large volumes of traffic in data center networks. As a consequence, significant …

The emerged SDN innovation moves the intelligent routing functions out of forwarding
devices into the centralized controller to provide the centralization and flexibility. It detaches …

With the rapid development of data center network, the traditional traffic scheduling method
can easily cause problems such as link congestion and load imbalance. Therefore, this …

According to the latest statistics, the number of connected people to Internet is still
exponentially growing and the high quality of cloud services is significantly requested in the …

Traffic in data centers mainly consists of elephant flows and mice flows, but elephant flows
are primarily responsible for network congestion because they usually carry large amount of …

In Software defined networking (SDN) based datacenters, flow-level management seriously
limits system scalability due to large amount of control messages between data and control …