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

Cloud and mobile edge computing (MEC) provides a wide range of computing services for
mobile applications. In particular, mobile edge computing enables a computing and storage …

With the rapid development of Internet-of-Things (IoT) devices and mobile communication
technologies, Multi-access Edge Computing (MEC) has emerged as a promising paradigm …

Mycotoxin contamination in foods and other commodities has been a global concern due to
their serious toxicity and public health threat, as well as fearful international trade loss. Thus …

Road safety, optimized traffic management, and passenger comfort have always been the
primary goals of the vehicle networking research community. Advances in computer and …

Most of the IoT-based smart systems require low latency and crisp response time for their
applications. Achieving the demand of this high Quality of Service (QoS) becomes quite …

Inference carried out on pretrained deep neural networks (DNNs) is particularly effective as
it does not require retraining and entails no loss in accuracy. Unfortunately, resource …

With tremendous advancements in smart phone industry and IoT devices, edge computing
has emerged to provide computational services at edge of the network. As a result …

Abstract Service offloading poses interesting challenges in current and next‐generation
networks. The classical network optimization algorithms are still painstakingly tune heuristics …

In the big data era, resource-constrained mobile devices generate an overwhelmingly large
amount of data with complex tasks that demand distributed execution. Offloading …