Data centers in public, private, and hybrid cloud settings make it possible to provision virtual
machines (VMs) with unprecedented flexibility. However, purchasing, operating, and …

According to the dynamic nature of cloud and the rapid growth of the resources demand in it,
the resource provisioning is one of the challenging problems in the cloud environment. The …

Smart world is envisioned as an era in which objects (eg, watches, mobile phones,
computers, cars, buses, and trains) can automatically and intelligently serve people in a …

This work presents a novel Evolutionary Quantum Neural Network (EQNN) based workload
prediction model for Cloud datacenter. It exploits the computational efficiency of quantum …

Efficient resource provision which can guarantee the satisfactory cloud computing services
to the end user, lays the foundation for the success of commercial competition. In the Iaas …

Reinforcement learning (RL) has been widely applied to game-playing and surpassed the
best human-level performance in many domains, yet there are few use-cases in industrial or …

Cloud computing plays an important role in every IT sector. Many tech giants such as
Google, Microsoft, and Facebook as deploying their data centres around the world to …

Energy consumption of massive-scale cloud data centers is increasing unacceptably. There
is a need to improve the energy efficiency of such data centers using Server Consolidation …

The precise estimation of resource usage is a complex and challenging issue due to the
high variability and dimensionality of heterogeneous service types and dynamic workloads …

The past decade has seen the emergence of Vehicular Clouds as a topic of research in its
own right. Vehicular clouds were inspired by the reality of present-day vehicles featuring an …