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An efficient energy-aware approach for dynamic VM consolidation on cloud platforms

https://doi.org/10.1007/s10586-021-03341-0
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/9780470940105openalex-snapshot
Cloud Computing
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Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in Cloud data centers
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A learning‐based approach for virtual machine placement in cloud data centers
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CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms
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Virtual Machine Consolidation in Cloud Data Centers Using ACO Metaheuristic
inferredcites →https://doi.org/10.1007/s00607-014-0407-8openalex-snapshot
A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems
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/s10586-020-03152-9openalex-snapshot
An efficient power-aware VM allocation mechanism in cloud data centers: a micro genetic-based approach
inferredcites →https://doi.org/10.1007/s10586-020-03187-yopenalex-snapshot
Power efficient virtual machine placement in cloud data centers with a discrete and chaotic hybrid optimization algorithm
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A coordinator for scaling elastic applications across multiple clouds
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A green energy-efficient scheduling algorithm using the DVFS technique for cloud datacenters
inferredcites →https://doi.org/10.1016/j.future.2017.09.075openalex-snapshot
Energy-aware and multi-resource overload probability constraint-based virtual machine dynamic consolidation method
inferredcites →https://doi.org/10.1016/j.future.2019.08.004openalex-snapshot
Energy-efficient and quality-aware VM consolidation method
inferredcites →https://doi.org/10.1016/j.future.2020.05.004openalex-snapshot
Adaptive virtual machine consolidation framework based on performance-to-power ratio in cloud data centers
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A dynamic evolutionary multi-objective virtual machine placement heuristic for cloud data centers
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Assessing ICT global emissions footprint: Trends to 2040 & recommendations
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A multi-objective ant colony system algorithm for virtual machine placement in cloud computing
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Optimizing VM allocation and data placement for data-intensive applications in cloud using ACO metaheuristic algorithm
inferredcites →https://doi.org/10.1016/j.jpdc.2019.12.014openalex-snapshot
Utilization-prediction-aware virtual machine consolidation approach for energy-efficient cloud data centers
inferredcites →https://doi.org/10.1016/j.mcm.2013.02.003openalex-snapshot
Energy efficient virtual machine placement algorithm with balanced and improved resource utilization in a data center
inferredcites →https://doi.org/10.1016/j.suscom.2018.05.012openalex-snapshot
Type-aware virtual machine management for energy efficient cloud data centers
inferredcites →https://doi.org/10.1109/access.2017.2733723openalex-snapshot
Energy-Efficient Many-Objective Virtual Machine Placement Optimization in a Cloud Computing Environment
inferredcites →https://doi.org/10.1109/access.2018.2872750openalex-snapshot
Adaptive Energy-Aware Algorithms for Minimizing Energy Consumption and SLA Violation in Cloud Computing
inferredcites →https://doi.org/10.1109/cc.2015.7084410openalex-snapshot
Energy-performance tradeoffs in IaaS cloud with virtual machine scheduling
inferredcites →https://doi.org/10.1109/glocom.2013.6831253openalex-snapshot
Heterogeneity aware dominant resource assistant heuristics for virtual machine consolidation
inferredcites →https://doi.org/10.1109/inm.2011.5990564openalex-snapshot
Effective VM sizing in virtualized data centers
inferredcites →https://doi.org/10.1109/ipdpsw.2010.5470908openalex-snapshot
Performance evaluation of a Green Scheduling Algorithm for energy savings in Cloud computing
inferredcites →https://doi.org/10.1109/scc.2010.69openalex-snapshot
Online Self-Reconfiguration with Performance Guarantee for Energy-Efficient Large-Scale Cloud Computing Data Centers
inferredcites →https://doi.org/10.1109/tc.2013.148openalex-snapshot
Adaptive Resource Provisioning for the Cloud Using Online Bin Packing
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/tevc.2016.2623803openalex-snapshot
An Energy Efficient Ant Colony System for Virtual Machine Placement in Cloud Computing
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/tsc.2010.25openalex-snapshot
A Mathematical Programming Approach for Server Consolidation Problems in Virtualized Data Centers
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.2016.2616868openalex-snapshot
Energy and Migration Cost-Aware Dynamic Virtual Machine Consolidation in Heterogeneous Cloud Datacenters
inferredcites →https://doi.org/10.1109/ucc.2011.21openalex-snapshot
Energy-efficient Virtual Machine Provision Algorithms for Cloud Systems
inferredcites →https://doi.org/10.1109/ucc.2013.76openalex-snapshot
Survey of Energy Efficient Data Centers in Cloud Computing
inferredcites →https://doi.org/10.1145/1113361.1113374openalex-snapshot
CoMon
inferredcites →https://doi.org/10.1145/1250662.1250665openalex-snapshot
Power provisioning for a warehouse-sized computer
inferredcites →https://doi.org/10.1145/1273440.1250665openalex-snapshot
Power provisioning for a warehouse-sized computer
inferredcites →https://doi.org/10.1145/2208828.2208832openalex-snapshot
An energy aware framework for virtual machine placement in cloud federated data centres
inferredcites →https://doi.org/10.1145/2557423openalex-snapshot
A Survey of Digital Map Processing Techniques
inferredcites →https://doi.org/10.1145/2656204openalex-snapshot
Cloud Computing
inferredcites →https://doi.org/10.1145/956993.956995openalex-snapshot
PlanetLab
inferredcites →https://doi.org/10.1186/s13677-016-0067-7openalex-snapshot
Optimizing virtual machine placement for energy and SLA in clouds using utility functions
inferredcites →https://doi.org/10.14257/ijhit.2013.6.6.30openalex-snapshot
Constraint Programming based Virtual Cloud Resources Allocation Model
inferredcites →https://doi.org/10.2172/1372902openalex-snapshot
United States Data Center Energy Usage Report
inferredcites →https://doi.org/10.3390/a11100145openalex-snapshot
Reducing the Operational Cost of Cloud Data Centers through Renewable Energy

What points at this work

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

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Performance Evaluation of Modified Best First Decreasing Algorithms for Dynamic Virtual Machine Placement in Cloud Computing
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A Novel Approach for User Demand-aware Data Center Construction and Service Consolidation
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An energy-aware service placement strategy using hybrid meta-heuristic algorithm in iot environments
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GHB: a cost-effective and energy-efficient data center network structure with greater incremental scalability
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Energy-aware QoS-based dynamic virtual machine consolidation approach based on RL and ANN
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RETRACTED ARTICLE: Perspective of virtual machine consolidation in cloud computing: a systematic survey
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Dynamic Virtual Machine Consolidation in a Cloud Data Center Using Modified Water Wave Optimization
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Adaptive Computational Solutions to Energy Efficiency in Cloud Computing Environment Using VM Consolidation
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An Energy-optimized Embedded load balancing using DVFS computing in Cloud Data centers
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Efficient cloud data center: An adaptive framework for dynamic Virtual Machine Consolidation
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Utilizing power consumption and SLA violations using dynamic VM consolidation in cloud data centers
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VM consolidation steps in cloud computing: A perspective review
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SLA-Aware and Energy-Efficient Virtual Machine Placement and Consolidation in Heterogeneous DVFS Enabled Cloud Datacenter
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Genetic-Based Virtual Machines Consolidation Strategy With Efficient Energy Consumption in Cloud Environment
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Multi-Task Learning for Electricity Price Forecasting and Resource Management in Cloud Based Industrial IoT Systems
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PheCon: Fine-Grained VM Consolidation with Nimble Resource Defragmentation in Public Cloud Platforms
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VMP-ER: An Efficient Virtual Machine Placement Algorithm for Energy and Resources Optimization in Cloud Data Center
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Queuing Model with Customer Class Movement across Server Groups for Analyzing Virtual Machine Migration in Cloud Computing
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Efficient Resource Management in Cloud Environments: A Modified Feeding Birds Algorithm for VM Consolidation
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