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 …

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

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

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 …

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 …

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 …

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

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

Future communication networks are envisioned to satisfy increasingly granular and dynamic
requirements to accommodate the application and user demands. Indeed, novel immersive …

High cost of data centers' energy consumption and its environmental effects such as CO 2
emissions have inspired numerous researches to provide more efficient VM management …