In today's fast-paced global economy coupled with the availability of mobile internet and
social networks, several business models have been disrupted. This disruption brings a …

Data centers are becoming considerably more significant and energy-intensive due to the
exponential growth of cloud computing. Cloud computing allows people to access computer …

Resource provisioning for cloud computing necessitates the adaptive and accurate
prediction of cloud workloads. However, the existing methods cannot effectively predict the …

Scientists have long looked to nature and biology in order to understand and model
solutions for complex real-world problems. The study of bionics bridges the functions …

Workload prediction plays a vital role in intelligent resource scaling and load balancing that
maximize the economic growth of cloud service providers as well as users' quality of …

This work proposes an energy-efficient resource provisioning and allocation framework to
meet dynamic demands of the future applications. The frequent variations in a cloud user's …

Constructing a deformation prediction model for dams that can accurately capture
deformation trends is crucial to ensure their operational safety. The accurate monitoring data …

Cloud computing promises elasticity, flexibility and cost-effectiveness to satisfy service level
agreement conditions. The cloud service providers should plan and provision the computing …

Cloud computing has revolutionized the modes of computing. With huge success and
diverse benefits, the paradigm faces several challenges as well. Power consumption …

Machine learning (ML) methods has recently contributed very well in the advancement of the
prediction models used for energy consumption. Such models highly improve the accuracy …