Deep neural networks (DNNs) are currently being deployed as machine learning technology
in a wide range of important real-world applications. DNNs consist of a huge number of …

The rapid growth of IoT devices leads to increasing requests. These tremendous requests
cannot be processed by IoT devices due to the computational power of IoT devices and the …

With the emergence of foundation models (FMs) that are trained on large amounts of data at
scale and adaptable to a wide range of downstream applications, AI is experiencing a …

The use of cloud computing service models is rapidly increasing, but inefficient resource
usage in cloud data centers can lead to great energy consumption and costs. To address …

Allocating resources is crucial in large-scale distributed computing, as networks of
computers tackle difficult optimization problems. Within the scope of this discussion, the …

Artificial Intelligence for IT operations (AIOps) aims to combine the power of AI with the big
data generated by IT Operations processes, particularly in cloud infrastructures, to provide …

Recently, there has been growing interest in distributed models for addressing issues
related to Cloud computing environments, particularly resource allocation. This involves two …

The rapid development of internet of things (IoT) gadgets and the increase in the rate of
sending requests from these devices to cloud data centers resulted in congestion and …

The egg is considered one of the best sources of dietary protein, and has an important role
in human growth and development. With the increase in the world's population, per capita …

The long-held dream of computing as a service was realized with the emergence of cloud
computing. Recently, fog and edge computing have been introduced as extensions of cloud …