Self directed learning based workload forecasting model for cloud resource management

Ensemble learning based predictive framework for virtual machine resource request prediction

(2020) Jitendra Kumar et al.   NEUROCOMPUTING

BiPhase adaptive learning-based neural network model for cloud datacenter workload forecasting

(2020) Jitendra Kumar et al.   SOFT COMPUTING

Secure and energy aware load balancing framework for cloud data centre networks

(2019) A.K. Singh et al.   ELECTRONICS LETTERS

Cloud datacenter workload estimation using error preventive time series forecasting models

(2019) Jitendra Kumar et al.   Cluster Computing-The Journal of Networks Software Tools and Applications

ClusFuDE: Forecasting low dimensional numerical data using an improved method based on automatic clustering, fuzzy relationships and differential evolution

(2018) Charu Gupta et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Predicting host CPU utilization in the cloud using evolutionary neural networks

(2018) Karl Mason et al.   Future Generation Computer Systems-The International Journal of eScience

An online learning model based on episode mining for workload prediction in cloud

(2018) Maryam Amiri et al.   Future Generation Computer Systems-The International Journal of eScience

Workload prediction in cloud using artificial neural network and adaptive differential evolution

(2018) Jitendra Kumar et al.   Future Generation Computer Systems-The International Journal of eScience

Dynamic Resource Prediction and Allocation for Cloud Data Center Using the Multiobjective Genetic Algorithm

(2018) Fan-Hsun Tseng et al.   IEEE Systems Journal

Improved PSO-based Method for Leak Detection and Localization in Liquid Pipelines

(2018) Haoran Zhang et al.   IEEE Transactions on Industrial Informatics

A sequential pattern mining model for application workload prediction in cloud environment

(2018) Maryam Amiri et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

An intelligent regressive ensemble approach for predicting resource usage in cloud computing

(2018) Gurleen Kaur et al.   JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING

SGW-SCN: An integrated machine learning approach for workload forecasting in geo-distributed cloud data centers

(2018) Jing Bi et al.   INFORMATION SCIENCES

Survey on prediction models of applications for resources provisioning in cloud

(2017) Maryam Amiri et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Predicting of Job Failure in Compute Cloud Based on Online Extreme Learning Machine: A Comparative Study

(2017) Chunhong Liu et al.   IEEE Access

Intelligent Cloud Resource Management with Deep Reinforcement Learning

(2017) Yu Zhang et al.   IEEE Cloud Computing

Workload prediction using run-length encoding for runtime processor power management

(2015) S.W. Kim et al.   ELECTRONICS LETTERS

Combining time series prediction models using genetic algorithm to autoscaling Web applications hosted in the cloud infrastructure

(2015) Valter Rogério Messias et al.   NEURAL COMPUTING & APPLICATIONS

Energy-Efficient Resource Allocation and Provisioning Framework for Cloud Data Centers

(2015) Mehiar Dabbagh et al.   IEEE Transactions on Network and Service Management

Energy-Efficient Resource Allocation and Provisioning Framework for Cloud Data Centers

(2015) Mehiar Dabbagh et al.   IEEE Transactions on Network and Service Management

Particle swarm optimization of ensemble neural networks with fuzzy aggregation for time series prediction of the Mexican Stock Exchange

(2014) Martha Pulido et al.   INFORMATION SCIENCES

Proactive Workload Management in Hybrid Cloud Computing

(2014) Hui Zhang et al.   IEEE Transactions on Network and Service Management

A cost-aware auto-scaling approach using the workload prediction in service clouds

(2013) Jingqi Yang et al.   INFORMATION SYSTEMS FRONTIERS

Dynamic Resource Allocation Using Virtual Machines for Cloud Computing Environment

(2012) Zhen Xiao et al.   IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS

Black hole: A new heuristic optimization approach for data clustering

(2012) Abdolreza Hatamlou   INFORMATION SCIENCES

Empirical prediction models for adaptive resource provisioning in the cloud

(2011) Sadeka Islam et al.   Future Generation Computer Systems-The International Journal of eScience