Abstract With the Internet of Things (IoT) becoming part of our daily life and our environment,
we expect rapid growth in the number of connected devices. IoT is expected to connect …

Handling the massive amount of data generated by Smart Mobile Devices (SMDs) is a
challenging computational problem. Edge Computing is an emerging computation paradigm …

With the proliferation of compute-intensive and delay-sensitive mobile applications, large
amounts of computational resources with stringent latency requirements are required on …

Real-time smart grid monitoring is critical to enhancing resiliency and operational efficiency
of power equipment. Cloud-based and edge-based fault detection systems integrating deep …

In recent years, the rapid development of mobile edge computing (MEC) provides an
efficient execution platform at the edge for Internet-of-Things (IoT) applications …

Fog computing combines cloud services with geographically distributed resources near the
network edge to offer computational offloading possibilities to end devices, featuring low …

The significant advances of cellular systems and mobile Internet services have yielded a
variety of computation intensive applications, resulting in great challenge to mobile terminals …

Due to the limited local computation resource, industrial vehicular computation requires
offloading the computation tasks with time-delay sensitive and complex demands to other …

Mobile edge computing (MEC) has recently emerged as a promising paradigm to meet the
increasing computation demands in Internet of Things (IoT). However, due to the limited …

In the era of Internet of Everything, massive connectivity and various demands of latency for
Internet of Things (IoT) devices will be supported by the massive machine type …