BHyPreC: a novel Bi-LSTM based hybrid recurrent neural network model to predict the CPU workload of cloud virtual machine
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 …
for the maximum utilization of cloud resources. It increases the computing power …
Self directed learning based workload forecasting model for cloud resource management
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 …
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
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 …
applications on cloud data centers. The primary area of attraction is elasticity, which allows …
Forecasting Cloud Application Workloads With CloudInsight for Predictive Resource Management
Predictive cloud resource management has been widely adopted to overcome the
limitations of reactive cloud autoscaling. The predictive resource management is highly …
limitations of reactive cloud autoscaling. The predictive resource management is highly …
Ensemble learning based predictive framework for virtual machine resource request prediction
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 …
services on-demand that consume the electricity at large and leave high carbon footprints …
Adaptive prediction models for data center resources utilization estimation
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 …
tenant co-hosted applications having dynamic and time-varying workloads. Accurate …
Performance evaluation of metaheuristics algorithms for workload prediction in cloud environment
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 …
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 …
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 …
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
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 …
Apart from numerous advantages, it suffers with a number of issues including resource …