A multitime‐steps‐ahead prediction approach for scheduling live migration in cloud data centers
One of the major challenges facing cloud computing is to accurately predict future resource
usage to provision data centers for future demands. Cloud resources are constantly in a …
usage to provision data centers for future demands. Cloud resources are constantly in a …
Adaptive Learning based Prediction Framework for Cloud Datacenter Networks' Workload Anticipation.
Cloud computing has effectively changed the computing industry by introducing the on-
demand resources through virtualization. However, a cloud system suffers with several …
demand resources through virtualization. However, a cloud system suffers with several …
[图书][B] Time series forecasting of cloud data center workloads for dynamic resource provisioning
C Vazquez - 2015 - search.proquest.com
Cloud computing offers on-demand, elastic resource provisioning that allows an enterprise
to provide services to their customers at an acceptable quality while consuming only the …
to provide services to their customers at an acceptable quality while consuming only the …
Prediction of cloud data center networks loads using stochastic and neural models
JJ Prevost, KM Nagothu, B Kelley… - 2011 6th International …, 2011 - ieeexplore.ieee.org
The increasing demand for cloud computing resources has led to a commensurate increase
in the operating power consumption of the systems that comprise the cloud. In this paper, we …
in the operating power consumption of the systems that comprise the cloud. In this paper, we …
Adaptive workload forecasting in cloud data centers
Forecasting on different levels of the management system of a cloud data center has
received increased attention due to its significant impact on the cloud services quality …
received increased attention due to its significant impact on the cloud services quality …
Performance assessment of time series forecasting models for cloud datacenter networks' workload prediction
The resource scaling has been influential in enabling the cloud service providers to
provision the resources on-demand effectively. The prior estimation of workloads helps in …
provision the resources on-demand effectively. The prior estimation of workloads helps in …
Short-term load forecasting of virtual machines based on improved neural network
W Guo, W Ge, X Lu, H Li - IEEE Access, 2019 - ieeexplore.ieee.org
Cloud computing allows applications to share resources on physical machines in an
independent manner so as to effectively increase the utilization of physical machines. To …
independent manner so as to effectively increase the utilization of physical machines. To …
Biphase adaptive learning-based neural network model for cloud datacenter workload forecasting
Cloud computing promises elasticity, flexibility and cost-effectiveness to satisfy service level
agreement conditions. The cloud service providers should plan and provision the computing …
agreement conditions. The cloud service providers should plan and provision the computing …
A novel VM workload prediction using Grey Forecasting model in cloud data center
In recent years, the resource demands in cloud environment have been increased
incrementally. In order to effectively allocate the resources, the workload prediction of virtual …
incrementally. In order to effectively allocate the resources, the workload prediction of virtual …
Intelligent time-series forecasting framework for non-linear dynamic workload and resource prediction in cloud
Abstract The industrial revolution 4.0 (I4. 0), internet of things developments, and the
expansion of online web services have caused exponential growth and deployment in the …
expansion of online web services have caused exponential growth and deployment in the …