Resource management in computing is a very challenging problem that involves making
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …

A systematic survey of the state-of-the-art on the systems merging radio frequency
identification (RFID) and computer vision (CV) is reported in this article. This review is …

Edge computing is a viable approach to improve service delivery and performance
parameters by extending the cloud with resources placed closer to a given service …

The distributed computing continuum systems (DCCS) and representation learning (ReL)
are two diverse computer science technologies with their use cases, applications, and …

In this paper, we consider an unmanned aerial vehicle (UAV)-enabled mobile edge
computing (MEC) network, where multiple UAVs with caching and computation …

Distributed computing continuum systems (DCCS) make use of a vast number of computing
devices to process data generated by edge devices such as the Internet of Things and …

Internet-of-Things (IoT) devices continuously gather data and send the data to the cloud for
further processing. However, with the recent trend of increasing number of IoT devices …

The microservice-based smart grid service (SGS) organization and the heterogeneous multi-
cores-based computing resource supply are the development direction of edge computing in …

With the increasing complexity of applications, many delay-sensitive and compute-intensive
services have posed significant challenges to mobile devices. Addressing how to efficiently …

In edge-assisted visual Simultaneous Localization and Map** (SLAM), mobile devices
offload computationally intensive tasks to an edge cloud. The mobile device should transfer …