Traffic engineering (TE) in multi-region networks is a challenging problem due to the
requirement that each region must independently compute its routing decisions based on …

By combining edge computing and parallel computing, distributed edge computing has
emerged as a new paradigm to exploit the booming IoT devices at the edge. To accelerate …

In data-parallel computing frameworks, intermediate parallel data is often produced at
various stages which needs to be transferred among servers in the datacenter network (eg …

In data center networks, existing control plane-and end host-based load-balancing methods
are encumbered by excessively large decision delays during rapid reactions to microbursts …

By integrating edge computing with parallel computing, distributed edge computing (DEC)
makes use of distributed devices in edge networks to perform computing in parallel, which …

By combing edge computing and parallel computing, distributed edge computing has
emerged as a new paradigm to accelerate computation at the edge. Considering the …

The emerging software defined networking enables the separation of control plane and data
plane and saves the resource consumption of the network. Breakthrough in this area has …

Data center networks demand high-performance, robust, and practical data plane load
balancing protocols. Despite progress, existing work falls short of meeting these …

The purpose of network load balancers is to optimize quality of service to the users of a set
of servers–basically, to improve response times and to reducing computing resources–by …

Load balancing mechanisms spread traffic across multiple paths to achieve high throughput
and low latency in data center networks. Flowlet switching has been proven to be a powerful …