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

Autonomic computing investigates how systems can achieve (user) specified “control”
outcomes on their own, without the intervention of a human operator. Autonomic computing …

In 2006, Geoffrey Hinton proposed the concept of training “Deep Neural Networks (DNNs)”
and an improved model training method to break the bottleneck of neural network …

Optimization is an inseparable part of Cloud computing, particularly with the emergence of
Fog and Edge paradigms. Not only these emerging paradigms demand reevaluating cloud …

There has been rapid development in the number of Internet of Things (IoT) connected
nodes and devices in our daily life in recent times. With this increase in the number of …

In cloud computing environments, when a client wants to access any resources, hardware
components, or application services, he needs to get a subscription for the same from …

The energy consumption by data centers is expanding in tandem with the rapid rise of the
digital economy. Data centers, as high-energy-consumption organizations, have garnered …

Nowadays, cloud organizations face challenges in managing huge count of data with
various resources due to the prompt expansion of cloud computing (CC) environments with …

With the advent of the Internet of Things (IoT) paradigm, the cloud model is unable to offer
satisfactory services for latency‐sensitive and real‐time applications due to high latency and …

Cloud computing becomes rapid growing technology using virtualization and Service
Oriented Architecture (SOA), developed as one of the sought-after computing models. It is a …