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

Fog computing (FC), extending cloud services to the network edge, has emerged as a key
paradigm for low-latency applications like the Internet of Things (IoT). However, efficient …

Nowadays, fog computing plays a very vital role in providing many services to end‐based
IoT (Internet of Things) systems. The end IoT devices communicate with the middle layer fog …

Fog computing provides a multitude of end‐based IoT system services. End IoT devices
exchange information with fog nodes and the cloud to handle client undertakings. During the …

Robotics has been transformed by machine learning (ML), enabling intelligent and adaptive
autonomous systems. By delivering massive computational resources and real-time data …

Every day, the amount of data on the globe increases. Big data a word used to describe a
vast array of sets of data that are very big and complicated that has recently become …

One problem with cloud computing is that it may fail to meet the desired time limits for real-
time applications. In this regard, fog computing paradigm has gained ground as it …

Precision agriculture, with its objectives of optimizing crop yields, decreasing resource
waste, and enhancing overall farm management, has emerged as a revolutionary …

Current research in data dissemination in Vehicular Ad Hoc Networks (VANETs) has
examined different approaches and frameworks to enhance the effectiveness and …

Swarm intelligence (SI), an important aspect of artificial intelligence, is increasingly gaining
popularity as more and more high-complexity challenges necessitate solutions that are sub …