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 …
auto-scaling in cloud computing. Accurate prediction of workload in cloud computing is of …
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 …
MAG-D: A multivariate attention network based approach for cloud workload forecasting
The Coronavirus pandemic and the work-from-home have drastically changed the working
style and forced us to rapidly shift towards cloud-based platforms & services for seamless …
style and forced us to rapidly shift towards cloud-based platforms & services for seamless …
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 …
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 …
A deep learning-based resource usage prediction model for resource provisioning in an autonomic cloud computing environment
MS Al-Asaly, MA Bencherif, A Alsanad… - Neural Computing and …, 2022 - Springer
Cloud computing enables clients to acquire cloud resources dynamically and on demand for
their cloud applications and services. For cloud providers, especially, Software as a Service …
their cloud applications and services. For cloud providers, especially, Software as a Service …
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 …
Cloud resource demand prediction using differential evolution based learning
Today's digital world generates ample amount of data through interconnected
heterogeneous devices that must be stored and processed efficiently for uninterrupted …
heterogeneous devices that must be stored and processed efficiently for uninterrupted …
STOWP: A light-weight deep residual network integrated windowing strategy for storage workload prediction in cloud systems
Accurate storage workload forecasting of big data applications is a constructive approach to
improve the job scheduling and fine-grained load balancing in real-time cluster systems …
improve the job scheduling and fine-grained load balancing in real-time cluster systems …
A Review on Machine Learning Methods for Workload Prediction in Cloud Computing
M Yekta, HS Shahhoseini - 2023 13th International Conference …, 2023 - ieeexplore.ieee.org
Workload prediction is one of the critical parts of resource provisioning in cloud computing
and its evolved branches such as serverless and edge computing. Effective resource …
and its evolved branches such as serverless and edge computing. Effective resource …