Energy efficiency in cloud computing data centers: a survey on software technologies

A Katal, S Dahiya, T Choudhury - Cluster Computing, 2023‏ - Springer
Cloud computing is a commercial and economic paradigm that has gained traction since
2006 and is presently the most significant technology in IT sector. From the notion of cloud …

Survey on prediction models of applications for resources provisioning in cloud

M Amiri, L Mohammad-Khanli - Journal of Network and Computer …, 2017‏ - Elsevier
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 …

A survey and classification of the workload forecasting methods in cloud computing

M Masdari, A Khoshnevis - Cluster Computing, 2020‏ - Springer
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 …

Dynamic resource prediction and allocation for cloud data center using the multiobjective genetic algorithm

FH Tseng, X Wang, LD Chou, HC Chao… - IEEE Systems …, 2017‏ - ieeexplore.ieee.org
In order to optimize the resource utilization of physical machines (PMs), the workload
prediction of virtual machines (VMs) is vital but challenging. Most of existing literatures focus …

Utilization-prediction-aware virtual machine consolidation approach for energy-efficient cloud data centers

SY Hsieh, CS Liu, R Buyya, AY Zomaya - Journal of Parallel and Distributed …, 2020‏ - Elsevier
In the age of the information explosion, the energy demand for cloud data centers has
increased markedly; hence, reducing the energy consumption of cloud data centers is …

Green cloud computing using proactive virtual machine placement: challenges and issues

M Masdari, M Zangakani - Journal of Grid Computing, 2020‏ - Springer
Efficient VM management is very crucial for energy saving, increasing profit, and preventing
SLA violations. VM placement schemes can be classified into reactive and …

Research on virtual machine consolidation strategy based on combined prediction and energy-aware in cloud computing platform

J Wang, H Gu, J Yu, Y Song, X He, Y Song - Journal of Cloud Computing, 2022‏ - Springer
In the era of information explosion, the energy consumption of cloud data centers is
significant. It's critical to reduce the energy consumption of large-scale data centers while …

Uncertainty-aware decisions in cloud computing: Foundations and future directions

HMD Kabir, A Khosravi, SK Mondal… - ACM Computing …, 2021‏ - dl.acm.org
The rapid growth of the cloud industry has increased challenges in the proper governance of
the cloud infrastructure. Many intelligent systems have been develo**, considering …

Optimizing resource utilization of a data center

X Sun, N Ansari, R Wang - IEEE Communications Surveys & …, 2016‏ - ieeexplore.ieee.org
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 …

A hybrid wavelet decomposer and GMDH-ELM ensemble model for Network function virtualization workload forecasting in cloud computing

S Jeddi, S Sharifian - Applied Soft Computing, 2020‏ - Elsevier
Nowadays Network function virtualization (NFV) has drawn immense attention from many
cloud providers because of its benefits. NFV enables networks to virtualize node functions …