A huge number of devices like sensors in addition to computers are interconnected in the
IoT (Internet of Things). In the cloud computing model, sensor data is transmitted to servers …

Fog computing has become a platform of choice for executing emerging applications with
low latency requirements. Since the devices in fog computing tend to be resource constraint …

In this paper, we present a method to learn a visual representation adapted for e-commerce
products. Based on weakly supervised learning, our model learns from noisy datasets …

Mobile edge computing (MEC) is a promising approach that can reduce the latency of task
processing by offloading tasks from user equipments (UEs) to MEC servers. Existing works …

In the last decade, the differences in the information communication technology (ICT)
infrastructures between urban and rural areas have registered a tremendous increase. ICT …

A huge number and various types of devices like sensors and actuators are interconnected
with clouds of servers in the IoT (Internet of Things). Here, a large volume of data created by …

In the fog computing model of the IoT, subprocesses of an application process to handle
sensor data are performed on fog nodes. Since the IoT is scalable, we have to reduce the …

It is critical to reduce the electric energy consumed in information systems, especially server
clusters. In this paper, we extend the multi-level power consumption (MLPC) model and the …

Electric power consumed by servers has to be reduced in a cluster in order to realise eco
society. We take a macro-level approach to reducing the total electric energy consumption of …

A huge number of devices like sensors are interconnected in the IoT (Internet of Things). In
the cloud computing model, processes and data are centralized in a cloud. Here, networks …