Machine learning methods for reliable resource provisioning in edge-cloud computing: A survey

TL Duc, RG Leiva, P Casari, PO Östberg - ACM Computing Surveys …, 2019 - dl.acm.org
Large-scale software systems are currently designed as distributed entities and deployed in
cloud data centers. To overcome the limitations inherent to this type of deployment …

Resource management in cloud computing: Taxonomy, prospects, and challenges

S Mustafa, B Nazir, A Hayat, SA Madani - Computers & Electrical …, 2015 - Elsevier
Cloud computing has emerged as a popular computing paradigm for hosting large
computing systems and services. Recently, significant research is carried out on Resource …

OP-MLB: an online VM prediction-based multi-objective load balancing framework for resource management at cloud data center

D Saxena, AK Singh, R Buyya - IEEE Transactions on Cloud …, 2021 - ieeexplore.ieee.org
The elasticity of cloud resources allows cloud clients to expand and shrink their demand for
resources dynamically over time. However, fluctuations in the resource demands and pre …

Machine learning based workload prediction in cloud computing

J Gao, H Wang, H Shen - 2020 29th international conference …, 2020 - ieeexplore.ieee.org
As a widely used IT service, more and more companies shift their services to cloud
datacenters. It is important for cloud service providers (CSPs) to provide cloud service …

An energy aware resource allocation based on combination of CNN and GRU for virtual machine selection

Z Khodaverdian, H Sadr, SA Edalatpanah… - Multimedia tools and …, 2024 - Springer
The use of cloud computing service models is rapidly increasing, but inefficient resource
usage in cloud data centers can lead to great energy consumption and costs. To address …

Applying reinforcement learning towards automating energy efficient virtual machine consolidation in cloud data centers

R Shaw, E Howley, E Barrett - Information Systems, 2022 - Elsevier
Energy awareness presents an immense challenge for cloud computing infrastructure and
the development of next generation data centers. Virtual Machine (VM) consolidation is one …

Rlpas: Reinforcement learning-based proactive auto-scaler for resource provisioning in cloud environment

JV Bibal Benifa, D Dejey - Mobile Networks and Applications, 2019 - Springer
Public cloud system offers Infrastructure-as-a-Service (IaaS) to deliver the computational
resources on demand. Resource requirements of a cloud environment are always …

Performance analysis of machine learning centered workload prediction models for cloud

D Saxena, J Kumar, AK Singh… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The precise estimation of resource usage is a complex and challenging issue due to the
high variability and dimensionality of heterogeneous service types and dynamic workloads …

Dynamic provisioning of resources based on load balancing and service broker policy in cloud computing

A Jyoti, M Shrimali - Cluster Computing, 2020 - Springer
Dynamic resource allocation is the key objective of the paper motivated due to a large
number of user's service request and increasing network infrastructure complexity. Load …

[PDF][PDF] A survey on resource allocation and monitoring in cloud computing

MH Mohamaddiah, A Abdullah… - International Journal of …, 2014 - academia.edu
The cloud provider plays a major role especially providing resources such as computing
power for the cloud subscriber to deploy their applications on multiple platforms anywhere; …