Related references
Note: Only part of the references are listed.Resource provisioning using workload clustering in cloud computing environment: a hybrid approach
Ali Shahidinejad et al.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2021)
Prediction of Cloud Resources Demand Based on Hierarchical Pythagorean Fuzzy Deep Neural Network
Dawei Chen et al.
IEEE TRANSACTIONS ON SERVICES COMPUTING (2021)
An elastic controller using Colored Petri Nets in cloud computing environment
Ali Shahidinejad et al.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2020)
A deep learning model to effectively capture mutation information in multivariate time series prediction
Jun Hu et al.
KNOWLEDGE-BASED SYSTEMS (2020)
Joint computation offloading and resource provisioning for edge-cloudcomputing environment: A machine learning-based approach
Ali Shahidinejad et al.
SOFTWARE-PRACTICE & EXPERIENCE (2020)
Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values
Zhiyong Cui et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2020)
ESNemble: an Echo State Network-based ensemble for workload prediction and resource allocation of Web applications in the cloud
Hoang Minh Nguyen et al.
JOURNAL OF SUPERCOMPUTING (2019)
A self-learning fuzzy approach for proactive resource provisioning in cloud environment
Reihaneh Khorsand et al.
SOFTWARE-PRACTICE & EXPERIENCE (2019)
A novel approach to workload prediction using attention-based LSTM encoder-decoder network in cloud environment
Yonghua Zhu et al.
EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING (2019)
SLA-Aware and Energy-Efficient VM Consolidation in Cloud Data Centers Using Robust Linear Regression Prediction Model
Lianpeng Li et al.
IEEE ACCESS (2019)
A preliminary study of machine learning workload prediction techniques for cloud applications
Dionatra F. Kirchoff et al.
2019 27TH EUROMICRO INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED AND NETWORK-BASED PROCESSING (PDP) (2019)
Resource provisioning for cloud applications: a 3-D, provident and flexible approach
Mohammad Sadegh Aslanpour et al.
JOURNAL OF SUPERCOMPUTING (2018)
Energy efficient job scheduling with workload prediction on cloud data center
Xiaoyong Tang et al.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2018)
Comparing time series with machine learning-based prediction approaches for violation management in cloud SLAs
Walayat Hussain et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2018)
Local Storage-Based Consolidation With Resource Demand Prediction and Live Migration in Clouds
Guoliang Zhang et al.
IEEE ACCESS (2018)
FAHP approach for autonomic resource provisioning of multitier applications in cloud computing environments
Reihaneh Khorsand et al.
SOFTWARE-PRACTICE & EXPERIENCE (2018)
Cloud computing-enabled healthcare opportunities, issues, and applications: A systematic review
Omar Ali et al.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT (2018)
Long Short Term Memory Recurrent Neural Network (LSTM-RNN) Based Workload Forecasting Model For Cloud Datacenters
Jitendra Kumar et al.
6TH INTERNATIONAL CONFERENCE ON SMART COMPUTING AND COMMUNICATIONS (2018)
CloudInsight: Utilizing a Council of Experts to Predict Future Cloud Application Workloads
In Kee Kim et al.
PROCEEDINGS 2018 IEEE 11TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING (CLOUD) (2018)
An ensemble CPU load prediction algorithm using a Bayesian information criterion and smooth filters in a cloud computing environment
Sajjad Tofighy et al.
SOFTWARE-PRACTICE & EXPERIENCE (2018)
An adaptive prediction approach based on workload pattern discrimination in the cloud
Chunhong Liu et al.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS (2017)
A survey on virtual machine migration and server consolidation frameworks for cloud data centers
Raja Wasim Ahmad et al.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS (2015)
Self-Adaptive Prediction of Cloud Resource Demands Using Ensemble Model and Subtractive-Fuzzy Clustering Based Fuzzy Neural Network
Zhijia Chen et al.
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (2015)
Workload Prediction Using ARIMA Model and Its Impact on Cloud Applications' QoS
Rodrigo N. Calheiros et al.
IEEE TRANSACTIONS ON CLOUD COMPUTING (2015)
The Green Grid'5000: Instrumenting and Using a Grid with Energy Sensors
Marcos Dias de Assuncao et al.
REMOTE INSTRUMENTATION FOR ESCIENCE AND RELATED ASPECTS (2012)
Share Paper
