The rapid growth of IoT devices and applications with data-intensive processing has led to
energy consumption and latency concerns. These applications tend to offload task …

Advances in communication technologies have made the interaction of small devices, such
as smartphones, wearables, and sensors, scattered on the Internet, bringing a whole new …

In a scenario with increasingly mobile devices connected to the Internet, data-intensive
applications and energy consumption limited by battery capacity, we propose a cost …

The active field of research is to achieve fast answers with minimal energy usage in mobile
edge computing. The latest development of mobile edge computing (MEC) is a new model …

Mobile edge computing (MEC) allows user devices to offload computing tasks to edge
servers, which are deployed close to users, for fast execution, short delay and energy …

As high quality real-time service demands on smart device applications are rapidly
increasing, offloading the application task to the edge server to reduce total response time is …

Achieving quick responses with limited energy consumption in mobile cloud computing is an
active area of research. The energy consumption increases when a user's request (task) …

Internet of Things (IoT) and mobile edge computing (MEC) architectures are common in real-
time application scenarios for improving the reliability of service responses. Energy …

These days, more and more web are converting into mobile devices such as the internet of
things (IoT). These applications are distributed in nature and installed on mobile and servers …

In recent times, the hand-held smart devices are entrusted with running several data and
compute-intensive applications which are often of critical nature. As a result, the mobile …