To store, analyse and process the large volume of data generated by IoT traditional cloud
computing, is used everywhere. However, the traditional cloud data centres have their …

In the age of booming information technology, human-being has witnessed the need for new
paradigms with both high computational capability and low latency. A potential solution is …

Abstract The Internet of Things (IoT) applied to the health area is in significant growth, with
companies putting effort into developing specialized devices. Remote patient healthcare …

Appropriate task offloading management strategy is a challenging problem for high delay-
sensitive and heavy-task applications. This paper proposes a fuzzy-based mobile edge …

Abstract In the Internet of Things (IoT) era, the capacity-limited Internet and uncontrollable
service delays for various new applications, such as video streaming analysis and …

With the technological evolution of mobile devices, 5G and 6G communication and users'
demand for new generation applications viz. face recognition, image processing …

In the era of heterogeneous 5G networks, Internet of Things (IoT) devices have significantly
altered our daily life by providing innovative applications and services. However, these …

With the development of Internet of Things, massive computation‐intensive tasks are
generated by mobile devices whose limited computing and storage capacity lead to poor …

In order to solve the problem that high-priority tasks can not be processed timely and reliably
due to the disorder of multi-task and dynamicity in power Internet of Things (PIoTs), a high …

This paper proposes an edge-centric workload orchestration approach that uses machine
learning in a three-tier vehicular architecture (edge, cloud via roadside unit, or cloud via …