Impact of Autoscaling on Application Performance in Cloud Environments (original) (raw)

Using Reinforcement Learning for Autonomic Resource Allocation in Clouds: Towards a Fully Automated Workflow

I. Truck, O. Melekhova, Jacques Malenfant

View PDFchevron_right

Reinforcement Learning Approach for Optimizing Cloud Resource Utilization With Load Balancing

Prathamesh Lahande

IEEE Access

View PDFchevron_right

Elastic management of cloud applications using adaptive reinforcement learning

Nectarios Koziris

2017 IEEE International Conference on Big Data (Big Data), 2017

View PDFchevron_right

Cloud Resource Allocation from the User Perspective: A Bare-Bones Reinforcement Learning Approach

Nectarios Koziris

Web Information Systems Engineering – WISE 2016

View PDFchevron_right

A Machine Learning Based Auto Scaling Approach for Web Application

Prateek Meshram

View PDFchevron_right

Auto-scaling web applications in clouds: A cost-aware approach

Sadegh Aslanpour

Journal of Network and Computer Applications, 2017

View PDFchevron_right

A Holistic Machine Learning-based Autoscaling Approach for Microservice Applications

Nima Mahmoudi

2021

View PDFchevron_right

RHAS: robust hybrid auto-scaling for web applications in cloud computing

Dr. Kiran Jyoti

Cluster Computing, 2020

View PDFchevron_right

Reinforcement learning based autonomic virtual machine management in clouds

Dr. Muhidul Islam Khan

2016 5th International Conference on Informatics, Electronics and Vision (ICIEV), 2016

View PDFchevron_right

Enhancing Cloud Scalability with AI Driven Resource Management

IJIREM JOURNAL

International Journal of Innovative Research in Engineering and Management (IJIREM), 2024

View PDFchevron_right

Evaluating Auto-scaling Strategies for Cloud Computing Environments

Marco Netto, Marcos Assuncao, Renato Cunha

2014 IEEE 22nd International Symposium on Modelling, Analysis & Simulation of Computer and Telecommunication Systems, 2014

View PDFchevron_right

Self-Adaptive Trade-off Decision Making for Autoscaling Cloud-Based Services

Rami Bahsoon

IEEE Transactions on Services Computing, 2017

View PDFchevron_right

Autonomic Cloud Computing Resource Scaling

Ziad Al-Sharif

View PDFchevron_right

Efficient Autoscaling in the Cloud Using Predictive Models for Workload Forecasting

Nilabja Roy

2011 IEEE 4th International Conference on Cloud Computing, 2011

View PDFchevron_right

Autoscaling Web Applications in Heterogeneous Cloud Infrastructures

Guillaume Pierre

View PDFchevron_right

ReLeaSER: A Reinforcement Learning Strategy for Optimizing Utilization Of Ephemeral Cloud Resources

Jalil Boukhobza

2020 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)

View PDFchevron_right

Cloud Auto-scaling with Deadline and Budget Constraints

vipin Punnacka

View PDFchevron_right

Reinforcement Learning for Reducing the Interruptions and Increasing Fault Tolerance in the Cloud Environment

Prathamesh Lahande

Informatics

View PDFchevron_right

Analysis of AWS Auto Scaling Strategy in Cloud Computing

manikantasanjay v

International Journal of Innovative Research in Science, Engineering and Technology, 2021

View PDFchevron_right

An autonomic prediction suite for cloud resource provisioning

Samuel Ajila

View PDFchevron_right

A Novel Approach for Optimization Auto-Scaling in Cloud Computing Environment

Mostafa Ghobaei Arani, mahboubeh shamsi

View PDFchevron_right

Improvements of the reactive auto scaling method for cloud platform

Dariusz Rafal Augustyn

Communications in Computer and Information Science, 2017

View PDFchevron_right

A Cost-aware Approach Based on Learning Automata for Resource Auto-Scaling in Cloud Computing Environment

Mostafa Ghobaei Arani

View PDFchevron_right

A Hybrid Reinforcement Learning Approach to Autonomic Resource Allocation

Rajarshi Das

2006 IEEE International Conference on Autonomic Computing, 2006

View PDFchevron_right

A Debt-Aware Learning Approach for Resource Adaptations in Cloud Elasticity Management

Rami Bahsoon

Lecture Notes in Computer Science, 2017

View PDFchevron_right

Chameleon: A Hybrid, Proactive Auto-Scaling Mechanism on a Level-Playing Field

Nikolas Herbst

IEEE Transactions on Parallel and Distributed Systems, 2019

View PDFchevron_right

Mathematical Rendition of Generic Process Model-based Design for Decision Making about Cloud Instance Autoscaling Actions

IOSR Journals

View PDFchevron_right

Reinforcement learning for resource management in multi-tenant serverless platforms

Tamer Basar

Proceedings of the 2nd European Workshop on Machine Learning and Systems, 2022

View PDFchevron_right