To provision IT solutions with reduced operating expenses, many businesses are moving
their IT infrastructures into public data centers or are starting to build their own private data …

Workload prediction is one of the important parts of proactive resource management and
auto-scaling in cloud computing. Accurate prediction of workload in cloud computing is of …

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 cloud service providers require a large number of computing resources to provide
services on-demand that consume the electricity at large and leave high carbon footprints …

To meet the increasing demand for its services, a cloud system should make optimum use of
its available resources. Additionally, the high and low oscillations in cloud workload are …

Cloud computing has drastically transformed the means of computing in past few years.
Apart from numerous advantages, it suffers with a number of issues including resource …

This study presents a case study of office buildings using modal decomposition based
ensemble learning method to forecast energy consumption of ground source heat pump …

To cope with the explosive growth of the Internet, data centers, which primarily serve as its
cloud computing infrastructures, are also growing at a fast rate. These data centers typically …

Nowadays an increasing number of companies and organizations choose to deploy their
applications in data centers to leverage resource sharing. The increase in tasks of multiple …

This paper consider the case of a cloud service provider (CSP) who owns multiple
geographically distributed data centers, with collocated sources of renewable energy. We …