Cloud computing has been employed for supporting storage and handling of Internet of
Things (IoT) data. There is an increasing demand for IoT framework to provide services with …

Recently, as the development of artificial intelligence (AI), data-driven AI methods have
shown amazing performance in solving complex problems to support the Internet of Things …

In this paper, we design a task scheduling scheme for Internet of Things (IoT) workflow
applications in serverless edge computing. Notice the fact that complex applications in …

In recent years, the Internet of Things (IoT) has gained tremendous attention and
exponential growth in every domain of life. However, these devices face many challenges …

Due to the high complexity of artificial intelligence (AI) algorithms, performing the AI tasks on
the resource-limited Internet-of-Things (IoT) devices has been proved to be inadvisable …

Edge computing, as an emerging computing model, can offload delay-sensitive computing
tasks from Internet of Thing (IoT) devices with limited computing resources and energy to the …

Multi-access edge computing (MEC) has been booming in recent years, as it promises to
fulfill the growing low-latency requirements of applications on large amounts of Internet of …

Development of internet of things (IoT) and smart devices eased life by offering numerous
applications targeting to provide real-time low latency services, but they also brought …

With the rapid development in the area of Internet of Things (IoT), the number of delay-
sensitive and power-hungry IoT applications has drastically increased over the past few …

The development of Internet of Things (IoT) technology depends on technologies such as
high‐efficiency storage and high computing power. Mobile cloud computing (MCC) …