In the current scenario, Cloud computing is providing services to IoT-sensor based
applications in task offloading. In time-sensitive real-time applications, latency is a major …

Mobile-edge computing (MEC) has been witnessed as a promising solution for the vehicular
task offloading. Due to the limited computing resource of individual MEC servers, it faces …

Fog computing is considered a formidable next-generation complement to cloud computing.
Nowadays, in light of the dramatic rise in the number of IoT devices, several problems have …

Abstract Many Internet of Things (IoT) systems generate a massive amount of data needing
to be processed and stored efficiently. Cloud computing solutions are often used to handle …

In this paper, we propose a mobility-aware task offloading scheme, named as Soft-VAN, with
an aim to minimize task computation delay in a software-defined vehicular network. The …

Fog computing is an extension of cloud computing, which emphasizes distributed computing
and provides computing service closer to user equipments (UEs). However, due to the …

In the era of the Internet of Things (IoT), fog computing has become an enticing concept for
supporting delay-sensitive tasks by offering versatile and convenient computing and …

In this paper, we investigate the allocation of resource in D2D-aided Fog computing system
with multiple mobile user equipments (MUEs). We consider each MUE has a request for task …

The Internet-of-Things (IoT) platform is faced with critical challenges posed by the conflict
between resource-hungry IoT applications and resource-constrained IoT devices. Mobile …

Multi-access Edge Computing (MEC) is a promising solution to the resource shortage
problem on mobile devices. With MEC, a fraction of the computational tasks on mobile …