Fog computing is a paradigm that brings computational resources and services to the
network edge in the vicinity of user devices, lowering latency and connecting with cloud …

Regarding real-time data processing, technological innovations like the Internet of Things
(IoTs) need latency-sensitive computation. The interconnected devices in IoT systems …

Due to technology development in the recent past, it is observed that an exponential growth
in the usage of high speed intelligent devices which includes smart objects, smart home …

The internet of things (IoT) research envisions a world in which common place objects are
linked to the internet and trade, store, process, and gather data from their surroundings. Due …

The service placement problem in a fog-cloud pertains to the intricate task of ascertaining
the optimal placement locations for diverse service replicas that constitute an Internet of …

Monitoring resource availability along Cloud-IoT networks in a lightweight and fault-resilient
manner is a challenging research problem due to scarce resource availability, infrastructure …

Technological advances in embedded systems and the advent of fog computing led to
improved quality of service of applications of cyber-physical systems. In fact, the deployment …

Abstract Industrial Internet of Things (IIoT) applications in Industry 4.0 collect and process
Time Series (TS) originating from heterogeneous sources. Many data-driven techniques …

The use of the Internet of Things (IoT) technologies and principles in industrial environments
is known as the Industrial Internet of Things (IIoT). The IIoT concept aims to integrate various …

Distributed monitoring is an essential functionality to allow large cluster federations to
efficiently schedule applications on a set of available geo-distributed resources. However …