To satisfy the delay constraint, the computation tasks can be offloaded to some computing
servers, referred to as offloading destinations. Different to most of existing works which …

Modern mobile devices are equipped with multicore-based processors, which introduce new
challenges on computation offloading. With the big. LITTLE architecture, instead of only …

Many mobile applications have been developed to apply deep learning for video analytics.
Although these advanced deep learning models can provide us with better results, they also …

With Mobile Edge Computing (MEC), computational intensive applications can be offloaded
to the nearby edge servers to support latency-sensitive applications on mobile devices …

In cellular networks, due to practical deployment issues, some areas have good wireless
coverage while others may not. This results in significant throughput (service quality) …

The rapid growth of mobile applications requires enhanced computational resources in
order to ensure better performance, security, and usability. In recent years, the proliferation …

A novel concept of the edge cloud has recently been introduced to reduce transmission
costs in mobile cloud computing services. Heterogeneous networks with diverse radio …

Many mobile applications have been developed to apply deep learning for video analytics.
Although these advanced deep learning models can provide us with better results, they also …

Many Deep Neural Network (DNN) based applications have been developed and run on
mobile devices. Although these advanced DNN models can provide better results, they also …

The extensive use of mobile intelligent devices, such as smart phones and tablets, induces
new opportunity and challenge for computation offloading. Task offloading is an important …