BHyPreC: a novel Bi-LSTM based hybrid recurrent neural network model to predict the CPU workload of cloud virtual machine

ME Karim, MMS Maswood, S Das, AG Alharbi - IEEE Access, 2021 - ieeexplore.ieee.org
With the advancement of cloud computing technologies, there is an ever-increasing demand
for the maximum utilization of cloud resources. It increases the computing power …

Self directed learning based workload forecasting model for cloud resource management

J Kumar, AK Singh, R Buyya - Information Sciences, 2021 - Elsevier
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 …

Research on auto-scaling of web applications in cloud: survey, trends and future directions

P Singh, P Gupta, K Jyoti, A Nayyar - Scalable Computing: Practice and …, 2019 - scpe.org
Cloud computing emerging environment attracts many applications providers to deploy web
applications on cloud data centers. The primary area of attraction is elasticity, which allows …

Forecasting Cloud Application Workloads With CloudInsight for Predictive Resource Management

IK Kim, W Wang, Y Qi… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Predictive cloud resource management has been widely adopted to overcome the
limitations of reactive cloud autoscaling. The predictive resource management is highly …

Ensemble learning based predictive framework for virtual machine resource request prediction

J Kumar, AK Singh, R Buyya - Neurocomputing, 2020 - Elsevier
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 …

Adaptive prediction models for data center resources utilization estimation

W Iqbal, JL Berral, A Erradi… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Accurate estimation of data center resource utilization is a challenging task due to multi-
tenant co-hosted applications having dynamic and time-varying workloads. Accurate …

Performance evaluation of metaheuristics algorithms for workload prediction in cloud environment

J Kumar, AK Singh - Applied Soft Computing, 2021 - Elsevier
The smooth operation of a cloud data center along with the best user experience is one of
the prime objectives of a resource management scheme that must be achieved at low cost in …

PSO-based ensemble meta-learning approach for cloud virtual machine resource usage prediction

HL Leka, Z Fengli, AT Kenea, NW Hundera, TG Tohye… - Symmetry, 2023 - mdpi.com
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 …

Resource usage cost optimization in cloud computing using machine learning

P Osypanka, P Nawrocki - IEEE Transactions on Cloud …, 2020 - ieeexplore.ieee.org
Cloud computing is gaining popularity among small and medium-sized enterprises. The cost
of cloud resources plays a significant role for these companies and this is why cloud …

Decomposition based cloud resource demand prediction using extreme learning machines

J Kumar, AK Singh - Journal of Network and Systems Management, 2020 - Springer
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 …