Resource management in computing is a very challenging problem that involves making
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …

Given its advantages in low latency, fast response, context-aware services, mobility, and
privacy preservation, edge computing has emerged as the key support for intelligent …

Abstract The Internet of Things (IoT) tsunami, public embracement, and the ubiquitous
adoption of smart devices are affecting virtually every industry, directly or indirectly. The …

In the recent scenario, the most challenging requirements are to handle the massive
generation of multimedia data from the Internet of Things (IoT) devices which becomes very …

Processing IoT applications directly in the cloud may not be the most efficient solution for
each IoT scenario, especially for time-sensitive applications. A promising alternative is to …

Internet of Things has been growing, due to which the number of user requests on fog
computing layer has also increased. Fog works in a real-time environment and offers from …

Task scheduling is a critical issue in distributed computing environments like cloud and fog.
The objective is to provide an optimal distribution of tasks among the resources. Several …

In Industrial-Internet-of-Things (IIoT) applications, fog computing (FC) has soared as a
means to improve the Quality of Services (QoSs) provided to users through cloud computing …

With the increasing use of the Internet of Things (IoT) in various fields and the need to
process and store huge volumes of generated data, Fog computing was introduced to …

New and innovative wearable IoT devices for health monitoring systems (HMS) have been
invented one after another. However, most of these devices are resource-constrained with …