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 …

Over the last recent years, applications related to the internet of things have become the
most important techniques in the world that facilitate interactions among humans and things …

In the Internet of Things (IoT) ecosystem, some processing is done near data production
sites at higher speeds without the need for high bandwidth by combining Fog Computing …

Fog Computing paradigm extends the cloud computing technology to the edge of the
computer network. The basic concept is kind of similar to cloud computing and supports …

Processing data from Internet of Things (IoT) applications at the cloud centers has known
limitations relating to latency, task scheduling, and load balancing. Hence, there have been …

Over the past few years, there has been a consistent increase in the number of Internet of
Things (IoT) devices utilizing Cloud services. However, this growth has brought about new …

With the rapid advancements in processing and storage technology along with the
popularity of the internet, computing capabilities have become more affordable, efficient, and …

Cloud computing (CC) allows on‐demand networks to access central computer resources,
such as servers, databases, storage, and network services. While clouds can handle …

Fog cloud computing promotes the combination of fog and cloud nodes to satisfy the
requests of data accessing from IoT (Internet of Things) devices. To reduce the data delay …

Summary The Internet of Things (IoT) interconnects billions of physical objects to collect and
exchange information and makes available various applications. Despite all the advantages …