With a significant increase in the compute-intensive mobile applications in recent times, the
seamless integration of the cloud platform with mobile devices becomes essential. As a …

Restricted abilities of mobile devices in terms of storage, computation, time, energy supply,
and transmission causes issues related to energy optimization and time management while …

Task offloading from many Internet of Things (IoT) devices to a mobile edge computing
(MEC) system, consisting of multiple collaborative edge servers (CES), results in reduced …

Internet of Things (IoT) devices can integrate with applications requiring intensive contextual
data processing, intelligent vehicle control, healthcare remote sensing, VR, data mining …

This paper addresses the issue of efficient resource allocation in a Mobile Edge Computing
(MEC) system, taking into account the trade-off between energy consumption and operation …

Internet of Things with an Edge layer is a trending approach in areas such as healthcare,
home, industry, and transportation. While scheduling the tasks of such applications, if the …

The rapid advancement of mobile edge computing (MEC) has revolutionized the distributed
computing landscape. With the help of MEC, the traditional centralized cloud computing …

The emergence of cloud computing has promoted the explosive growth of applications,
however, with the repaid generation of an unprecedented volume and variety of data, the …

Energy-aware scheduling algorithms are emerging as important components in economic-
conscious heterogeneous computing systems such as IoT-enabled edge, fog, or cloud …

Edge Computing is one of the core technology of 5G networks. Edge computing deploys
servers at the edge of the wireless access network, sinking cloud computing capabilities to …