The rise of mobile devices and the Internet of Things has generated vast data which require
efficient processing methods. Volunteer Computing (VC) is a distributed network that utilises …

To realize smart IoT services, such as intelligent video surveillance, smart city and
autonomous driving, tremendous amount of distributed machine learning jobs will train …

Cloud computing is one of the most used distributed systems for data processing and data
storage. Due to the continuous increase in the size of the data processed by cloud …

Mobile-edge computing (MEC) is considered as a promising solution to release pressure on
the core network and reduce service response time. Edge nodes with storage and …

Mobile device cloud (MDC) is a collaborative cloud computing platform over which
neighboring smart devices form an alliance of shared resources to mitigate resource-scarcity …

The rapid development of Wireless Body Area Networks (WBANs) has brought revolutionary
changes to the healthcare system. However, due to the shortcomings of the sink node with …

Cloud Computing (CC) is powerful for the computation offloading of services, promoting the
implementation of various modern applications. Mobile Edge Computing (MEC) can provide …

Federated learning (FL) is an effective paradigm for training a machine-learning model
based on data distributed at a large quantity of users in Internet of Things (IoT) without …

Application service providers deploy their services by purchasing certain edge computing
resources from edge service providers. In this way, they can offer computing or storage …

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 …