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A flexible approach for virtual machine selection in cloud data centers with AHP

https://doi.org/10.1002/spe.3062
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/cpe.1867openalex-snapshot
Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in Cloud data centers
inferredcites →https://doi.org/10.1002/cpe.4942openalex-snapshot
Virtual machine migration algorithm for energy efficiency optimization in cloud computing
inferredcites →https://doi.org/10.1002/cpe.5221openalex-snapshot
ETAS: Energy and thermal‐aware dynamic virtual machine consolidation in cloud data center with proactive hotspot mitigation
inferredcites →https://doi.org/10.1002/dac.4068openalex-snapshot
Multiobjective virtual machine placement mechanisms using nature‐inspired metaheuristic algorithms in cloud environments: A comprehensive review
inferredcites →https://doi.org/10.1002/spe.2582openalex-snapshot
Server consolidation techniques in virtualized data centers of cloud environments: A systematic literature review
inferredcites →https://doi.org/10.1002/spe.2764openalex-snapshot
Adaptive Markov‐based approach for dynamic virtual machine consolidation in cloud data centers with quality‐of‐service constraints
inferredcites →https://doi.org/10.1002/spe.2960openalex-snapshot
An autonomous model for self‐optimizing virtual machine selection by learning automata in cloud environment
inferredcites →https://doi.org/10.1002/spe.3010openalex-snapshot
An energy‐aware virtual machines consolidation method for cloud computing: Simulation and verification
inferredcites →https://doi.org/10.1002/spe.995openalex-snapshot
CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms
inferredcites →https://doi.org/10.1007/978-3-319-09873-9_26openalex-snapshot
Virtual Machine Consolidation in Cloud Data Centers Using ACO Metaheuristic
inferredcites →https://doi.org/10.1007/s00607-015-0474-5openalex-snapshot
An adaptive fuzzy threshold-based approach for energy and performance efficient consolidation of virtual machines
inferredcites →https://doi.org/10.1007/s10586-020-03096-0openalex-snapshot
An energy-efficient algorithm for virtual machine placement optimization in cloud data centers
inferredcites →https://doi.org/10.1007/s11227-014-1224-8openalex-snapshot
Novel resource allocation algorithms to performance and energy efficiency in cloud computing
inferredcites →https://doi.org/10.1007/s11227-015-1603-9openalex-snapshot
Novel heuristics for consolidation of virtual machines in cloud data centers using multi-criteria resource management solutions
inferredcites →https://doi.org/10.1007/s11227-017-2112-9openalex-snapshot
Resource-aware virtual machine placement algorithm for IaaS cloud
inferredcites →https://doi.org/10.1007/s11227-018-2709-7openalex-snapshot
A reliable energy-aware approach for dynamic virtual machine consolidation in cloud data centers
inferredcites →https://doi.org/10.1007/s11227-019-03037-8openalex-snapshot
Burstiness-aware virtual machine placement in cloud computing systems
inferredcites →https://doi.org/10.1007/s11227-020-03165-6openalex-snapshot
An approach toward design and development of an energy-aware VM selection policy with improved SLA violation in the domain of green cloud computing
inferredcites →https://doi.org/10.1007/s11227-020-03169-2openalex-snapshot
New comprehensive model based on virtual clusters and absorbing Markov chains for energy-efficient virtual machine management in cloud computing
inferredcites →https://doi.org/10.1016/0377-2217(90)90057-iopenalex-snapshot
How to make a decision: The analytic hierarchy process
inferredcites →https://doi.org/10.1016/b978-0-12-385512-1.00003-7openalex-snapshot
A Taxonomy and Survey of Energy-Efficient Data Centers and Cloud Computing Systems
inferredcites →https://doi.org/10.1016/j.compeleceng.2015.05.006openalex-snapshot
Novel energy and SLA efficient resource management heuristics for consolidation of virtual machines in cloud data centers
inferredcites →https://doi.org/10.1016/j.compeleceng.2018.01.012openalex-snapshot
A combined forecast-based virtual machine migration in cloud data centers
inferredcites →https://doi.org/10.1016/j.compeleceng.2018.11.021openalex-snapshot
Energy-efficient virtual machine selection based on resource ranking and utilization factor approach in cloud computing for IoT
inferredcites →https://doi.org/10.1016/j.future.2011.04.017openalex-snapshot
Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing
inferredcites →https://doi.org/10.1016/j.future.2018.10.022openalex-snapshot
Optimistic virtual machine placement in cloud data centers using queuing approach
inferredcites →https://doi.org/10.1016/j.jnca.2014.07.030openalex-snapshot
SLA-based virtual machine management for heterogeneous workloads in a cloud datacenter
inferredcites →https://doi.org/10.1016/j.jnca.2016.09.016openalex-snapshot
Novel fuzzy multi objective DVFS-aware consolidation heuristics for energy and SLA efficient resource management in cloud data centers
inferredcites →https://doi.org/10.1016/j.suscom.2019.01.004openalex-snapshot
Topology-aware multi-objective virtual machine dynamic consolidation for cloud datacenter
inferredcites →https://doi.org/10.1080/0952813x.2015.1020519openalex-snapshot
Dynamic VMs placement for energy efficiency by PSO in cloud computing
inferredcites →https://doi.org/10.1109/access.2019.2961786openalex-snapshot
A Virtual Machine Consolidation Algorithm Based on Ant Colony System and Extreme Learning Machine for Cloud Data Center
inferredcites →https://doi.org/10.1109/compsac.2013.21openalex-snapshot
Cloud Client Prediction Models Using Machine Learning Techniques
inferredcites →https://doi.org/10.1109/comst.2015.2481183openalex-snapshot
Data Center Energy Consumption Modeling: A Survey
inferredcites →https://doi.org/10.1109/comst.2018.2794881openalex-snapshot
A Survey on Virtual Machine Migration: Challenges, Techniques, and Open Issues
inferredcites →https://doi.org/10.1109/icpads.2013.26openalex-snapshot
Particle Swarm Optimization for Energy-Aware Virtual Machine Placement Optimization in Virtualized Data Centers
inferredcites →https://doi.org/10.1109/intlec.2011.6099718openalex-snapshot
PUE: The Green Grid metric for evaluating the energy efficiency in DC (Data Center). Measurement method using the power demand
inferredcites →https://doi.org/10.1109/istel.2016.7881903openalex-snapshot
Multi objective consolidation of virtual machines for green computing in Cloud data centers
inferredcites →https://doi.org/10.1109/pdgc.2014.7030744openalex-snapshot
Virtual machine migration for back-end mashup application deployed on OpenStack environment
inferredcites →https://doi.org/10.1109/tcc.2014.2350475openalex-snapshot
Workload Prediction Using ARIMA Model and Its Impact on Cloud Applications’ QoS
inferredcites →https://doi.org/10.1109/tcc.2015.2453988openalex-snapshot
On Achieving Energy Efficiency and Reducing CO2Footprint in Cloud Computing
inferredcites →https://doi.org/10.1109/tcc.2016.2617374openalex-snapshot
Energy-Aware VM Consolidation in Cloud Data Centers Using Utilization Prediction Model
inferredcites →https://doi.org/10.1109/tpds.2012.240openalex-snapshot
Managing Overloaded Hosts for Dynamic Consolidation of Virtual Machines in Cloud Data Centers under Quality of Service Constraints
inferredcites →https://doi.org/10.1109/tpds.2019.2953745openalex-snapshot
Towards Accurate Prediction for High-Dimensional and Highly-Variable Cloud Workloads with Deep Learning
inferredcites →https://doi.org/10.1109/tsc.2014.2382555openalex-snapshot
Using Ant Colony System to Consolidate VMs for Green Cloud Computing
inferredcites →https://doi.org/10.1109/tsc.2017.2648791openalex-snapshot
Virtual Machine Consolidation with Multiple Usage Prediction for Energy-Efficient Cloud Data Centers
inferredcites →https://doi.org/10.1145/1113361.1113374openalex-snapshot
CoMon
inferredcites →https://doi.org/10.1145/1273440.1250665openalex-snapshot
Power provisioning for a warehouse-sized computer
inferredcites →https://doi.org/10.1145/1890799.1890803openalex-snapshot
Adaptive threshold-based approach for energy-efficient consolidation of virtual machines in cloud data centers
inferredcites →https://doi.org/10.1186/s13677-018-0111-xopenalex-snapshot
Proactive dynamic virtual-machine consolidation for energy conservation in cloud data centres
inferredcites →https://doi.org/10.14569/ijacsa.2018.091159openalex-snapshot
Priority-Aware Virtual Machine Selection Algorithm in Dynamic Consolidation
inferredcites →https://doi.org/10.2172/1372902openalex-snapshot
United States Data Center Energy Usage Report
inferredcites →https://doi.org/10.3390/en10050609openalex-snapshot
An Energy Aware Unified Ant Colony System for Dynamic Virtual Machine Placement in Cloud Computing
inferredcites →https://doi.org/10.3390/en10101470openalex-snapshot
Trends in Data Centre Energy Consumption under the European Code of Conduct for Data Centre Energy Efficiency

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/spe.3118openalex-snapshot
Modeling the correlation between the workload and the power consumed by a server using stochastic and non‐parametric approaches
inferred← citeshttps://doi.org/10.1002/spe.3127openalex-snapshot
Confidence interval‐based overload avoidance algorithm for virtual machine placement
inferred← citeshttps://doi.org/10.1007/978-981-96-6843-4_23openalex-snapshot
Dynamic Resource Allocation in Cloud Computing Environments: AI-Driven Approaches for Optimizing Workload Distribution and Cost Efficiency
inferred← citeshttps://doi.org/10.1007/s00607-024-01267-0openalex-snapshot
Cloud data center cost management using virtual machine consolidation with an improved artificial feeding birds algorithm
inferred← citeshttps://doi.org/10.1007/s00607-025-01527-7openalex-snapshot
Empowering cloud providers: optimised locust-inspired algorithm for SLA violation mitigation in green cloud computing
inferred← citeshttps://doi.org/10.1007/s12243-026-01159-8openalex-snapshot
Multicriteria VNF placement and chaining with machine learning: a survey and new opportunities for the AHP in decision-making scenarios
inferred← citeshttps://doi.org/10.1016/j.engappai.2023.107825openalex-snapshot
Energy-performance aware virtual machines migration in cloud network by using prediction and fuzzy approaches
inferred← citeshttps://doi.org/10.1016/j.jpdc.2023.104742openalex-snapshot
A task processing efficiency improvement scheme based on Cloud-Edge architecture in computationally intensive scenarios
inferred← citeshttps://doi.org/10.1109/access.2023.3305268openalex-snapshot
Virtual Machine Migration Techniques for Optimizing Energy Consumption in Cloud Data Centers
inferred← citeshttps://doi.org/10.1145/3669940.3707252openalex-snapshot
Tela: A Temporal Load-Aware Cloud Virtual Disk Placement Scheme
inferred← citeshttps://doi.org/10.1145/3689236.3695397openalex-snapshot
Research on Cloud Computing-Based Editorial and Publishing Collaboration Platform with Intelligent Scheduling Optimization
inferred← citeshttps://doi.org/10.17541/optimum.1417219openalex-snapshot
Application of a Performance Evaluation Model to the Paper and Paper Products Printing Sector: The DEA-AHP Hybrid Algorithm
inferred← citeshttps://doi.org/10.21203/rs.3.rs-2333732/v1openalex-snapshot
A prediction and fuzzy-based approach for VM migration for optimal trade off energy-performance in cloud network
inferred← citeshttps://doi.org/10.21605/cukurovaumfd.1410269openalex-snapshot
Bulut Bilişim Sanal Sunucu Ürün Seçiminde Çok Kriterli Bir Karar Destek Modeli
inferred← citeshttps://doi.org/10.3390/analytics5030029openalex-snapshot
Exploring the AHP-AgileITS-ArchDesign: An AHP Model and Tool for Evaluating IT Service Architectural Agile Designs in SMBs
inferred← citeshttps://doi.org/10.7717/peerj-cs.1675openalex-snapshot
Towards virtual machine scheduling research based on multi-decision AHP method in the cloud computing platform
inferred← citeshttps://doi.org/10.7763/ijcte.2024.v16.1356openalex-snapshot
An Energy-Efficient VM Selection Using Updated Dragonfly Algorithm in Cloud Computing
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