Deep neural networks (DNNs) have widely used in various Internet-of-Things (IoT)
applications. Pursuing superior performance is always a hot spot in the field of DNN …

Resource management is addressed using infrastructure as a service. On demand, the
resource management module effectively manages available resources. Resource …

The prediction of network traffic characteristics helps in understanding this complex
phenomenon and enables a number of practical applications, ranging from network …

Network traffic prediction is substantial for network optimization and resource management.
However, designing an efficient predictive model considering different traffic characteristics …

A hybrid software-defined network (SDN), which is a network where traditional routers and
SDN protocols coexist during the incremental deployment of SDNs, requires real-time link …

Static bandwidth allocation for variable bit rate (VBR) video traffic forfeits the available
bandwidth. Prediction of the next frame size is thus useful in dynamic bandwidth allocation. It …

In non-reciprocal wireless channels, the performance of link adaptation heavily deteriorates
with outdated measurement reports. To provide an effective solution to this problem, we …

It is crucial to dynamically predict the future frame-sizes (bit-rates) for multimedia networking.
All of the conventional bit-rate predictors are based on the assumption that instantaneous bit …

Adaptive streaming over HTTP (DASH) is a popular method to deliver best possible quality
media using available network resources. In this paper we propose QoS routing algorithm …

In the past two decades, there has been a fast growth in the heterogeneous wired-wireless
network which connects variety of networks such as wired network, wireless network, high …