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Virtual Machine Consolidation with Usage Prediction for Energy-Efficient Cloud Data Centers
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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/spe.995openalex-snapshot
CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms
inferredcites →https://doi.org/10.1016/j.future.2011.04.016openalex-snapshot
Server consolidation with migration control for virtualized data centers
inferredcites →https://doi.org/10.1016/j.future.2011.05.027openalex-snapshot
Empirical prediction models for adaptive resource provisioning in the cloud
inferredcites →https://doi.org/10.1109/cloudcom.2011.31openalex-snapshot
Modeling for Dynamic Cloud Scheduling Via Migration of Virtual Machines
inferredcites →https://doi.org/10.1109/cloudcom.2014.130openalex-snapshot
A Multi-resource Selection Scheme for Virtual Machine Consolidation in Cloud Data Centers
inferredcites →https://doi.org/10.1109/ithings.2014.84openalex-snapshot
Robust Virtual Machine Consolidation for Efficient Energy and Performance in Virtualized Data Centers
inferredcites →https://doi.org/10.1109/seaa.2013.23openalex-snapshot
LiRCUP: Linear Regression Based CPU Usage Prediction Algorithm for Live Migration of Virtual Machines in Data Centers
inferredcites →https://doi.org/10.1109/tcc.2013.17openalex-snapshot
Probabilistic Consolidation of Virtual Machines in Self-Organizing Cloud Data Centers
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.2012.283openalex-snapshot
Dynamic Resource Allocation Using Virtual Machines for Cloud Computing Environment
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Which is the best algorithm for virtual machine placement optimization?
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Server consolidation techniques in virtualized data centers of cloud environments: A systematic literature review
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Efficient resource management in the cloud: From simulation to experimental validation using a low‐cost Raspberry Pi testbed
inferred← citeshttps://doi.org/10.1007/978-3-030-12065-8_1openalex-snapshot
Predictions and Modeling Energy Consumption for IT Data Center
inferred← citeshttps://doi.org/10.1007/978-3-030-60239-0_5openalex-snapshot
ELVMC: A Predictive Energy-Aware Algorithm for Virtual Machine Consolidation in Cloud Computing
inferred← citeshttps://doi.org/10.1007/978-981-16-0443-0_6openalex-snapshot
Amalgamation of Neural Network and Genetic Algorithm for Efficient Workload Prediction in Data Center
inferred← citeshttps://doi.org/10.1007/978-981-19-1018-0_4openalex-snapshot
Active VM Placement Approach Based on Energy Efficiency in Cloud Environment
inferred← citeshttps://doi.org/10.1007/s00607-019-00738-zopenalex-snapshot
Scheduling real time tasks in an energy-efficient way using VMs with discrete compute capacities
inferred← citeshttps://doi.org/10.1007/s10586-018-2154-7openalex-snapshot
Energy efficient job scheduling with workload prediction on cloud data center
inferred← citeshttps://doi.org/10.1007/s10586-018-2408-4openalex-snapshot
An adaptive overload threshold selection process using Markov decision processes of virtual machine in cloud data center
inferred← citeshttps://doi.org/10.1007/s11227-019-03068-1openalex-snapshot
Challenges of server consolidation in virtualized data centers and open research issues: a systematic literature review
inferred← citeshttps://doi.org/10.1007/s11241-018-9302-2openalex-snapshot
Enhancing timeliness and saving power in real-time databases
inferred← citeshttps://doi.org/10.1007/s12053-016-9467-2openalex-snapshot
Methodology for energy aware adaptive management of virtualized data centers
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2018.01.012openalex-snapshot
A combined forecast-based virtual machine migration in cloud data centers
inferred← citeshttps://doi.org/10.1016/j.future.2016.12.008openalex-snapshot
Bayesian network-based Virtual Machines consolidation method
inferred← citeshttps://doi.org/10.1016/j.future.2017.09.075openalex-snapshot
Energy-aware and multi-resource overload probability constraint-based virtual machine dynamic consolidation method
inferred← citeshttps://doi.org/10.1016/j.jpdc.2019.12.014openalex-snapshot
Utilization-prediction-aware virtual machine consolidation approach for energy-efficient cloud data centers
inferred← citeshttps://doi.org/10.1016/j.jss.2018.09.083openalex-snapshot
A prediction-Based VM consolidation approach in IaaS Cloud Data Centers
inferred← citeshttps://doi.org/10.1016/j.simpat.2019.101992openalex-snapshot
An intelligent ensemble learning approach for energy efficient and interference aware dynamic virtual machine consolidation
inferred← citeshttps://doi.org/10.1016/j.suscom.2019.01.004openalex-snapshot
Topology-aware multi-objective virtual machine dynamic consolidation for cloud datacenter
inferred← citeshttps://doi.org/10.1038/s41598-025-04757-zopenalex-snapshot
VTGAN based proactive VM consolidation in cloud data centers using value and trend approaches
inferred← citeshttps://doi.org/10.1109/access.2022.3194514openalex-snapshot
Dynamic Virtual Machine Consolidation Algorithm Based on Balancing Energy Consumption and Quality of Service
inferred← citeshttps://doi.org/10.1109/bigdatasecurity-hpsc-ids.2016.55openalex-snapshot
Energy Efficient Traffic-Aware Virtual Machine Migration in Green Cloud Data Centers
inferred← citeshttps://doi.org/10.1109/ccis.2016.7790285openalex-snapshot
Dynamic virtual machine consolidation for improving energy efficiency in cloud data centers
inferred← citeshttps://doi.org/10.1109/cloud.2016.0150openalex-snapshot
SMPA: An Energy-Aware Service Migration Strategy in Cloud Networks
inferred← citeshttps://doi.org/10.1109/cloud.2017.96openalex-snapshot
Resource Allocation in the Cloud: From Simulation to Experimental Validation
inferred← citeshttps://doi.org/10.1109/compe53109.2021.9751995openalex-snapshot
An Analysis of Electronic Health Record System in Healthcare Services in Cloud: A Review Perspective
inferred← citeshttps://doi.org/10.1109/confluence60223.2024.10463434openalex-snapshot
Hybrid Approach for Virtual Machine Utilization Prediction in Cloud Environment
inferred← citeshttps://doi.org/10.1109/iccp.2017.8117059openalex-snapshot
Self-adaptive task scheduler for dynamic allocation in energy efficient data centers
inferred← citeshttps://doi.org/10.1109/icicas48597.2019.00112openalex-snapshot
Task-Oriented Service Allocation in Cloud Computing
inferred← citeshttps://doi.org/10.1109/icites62688.2024.10777413openalex-snapshot
Optimizing Cloud Cloud Resource Allocation and Power Management: Attentive-Mamba and Reinforcement Learning Approaches
inferred← citeshttps://doi.org/10.1109/icmit47780.2020.9046987openalex-snapshot
Machine Learning Approach for Energy Consumption Prediction in Datacenters
inferred← citeshttps://doi.org/10.1109/ispa/iucc.2017.00042openalex-snapshot
Fast Communication-Aware Virtual Machine Dynamic Consolidation for Cloud Data Center
inferred← citeshttps://doi.org/10.1109/sigtelcom49868.2020.9199061openalex-snapshot
Energy-aware and load balancing based dynamic migration strategy for virtual machine
inferred← citeshttps://doi.org/10.1109/tc.2024.3416734openalex-snapshot
A Combined Trend Virtual Machine Consolidation Strategy for Cloud Data Centers
inferred← citeshttps://doi.org/10.1109/tnsm.2026.3687892openalex-snapshot
PMPHD: A High Performance Virtual Machine Consolidation Strategy Based on Dynamic Threshold Adjustment
inferred← citeshttps://doi.org/10.1109/tsc.2017.2648791openalex-snapshot
Virtual Machine Consolidation with Multiple Usage Prediction for Energy-Efficient Cloud Data Centers
inferred← citeshttps://doi.org/10.1186/s13638-019-1454-9openalex-snapshot
Virtual machine scheduling strategy based on machine learning algorithms for load balancing
inferred← citeshttps://doi.org/10.12720/jcm.11.2.192-202openalex-snapshot
Virtual Resource Consolidation for Green Computing Based on Virtual Cluster Live Migration
inferred← citeshttps://doi.org/10.12913/22998624/62746openalex-snapshot
RESOURCE SCHEDULING IN CLOUD ENVIRONMET: A SURVEY
inferred← citeshttps://doi.org/10.18293/seke2016-151openalex-snapshot
Multi-Objective Biogeography-Based Method to Optimize Virtual Machine Consolidation
inferred← citeshttps://doi.org/10.26636/jtit.2019.129418openalex-snapshot
Optimized Energy Aware Resource Allocation Algorithm Using Software Defined Network Technology
inferred← citeshttps://doi.org/10.32604/cmc.2024.050626openalex-snapshot
A Prediction-Based Multi-Objective VM Consolidation Approach for Cloud Data Centers
inferred← citeshttps://doi.org/10.3390/su12219255openalex-snapshot
Green Cloud Software Engineering for Big Data Processing
inferred← citeshttps://doi.org/10.33965/its2019_201901l009openalex-snapshot
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