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Energy and cost‐aware virtual machine consolidation in cloud computing
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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.2972openalex-snapshot
Cost optimization of virtual infrastructures in dynamic multi‐cloud scenarios
inferredcites →https://doi.org/10.1007/bf00999302openalex-snapshot
A general packing algorithm for multidimensional resource requirements
inferredcites →https://doi.org/10.1007/s10586-017-1271-zopenalex-snapshot
A cost-aware mechanism for optimized resource provisioning in cloud computing
inferredcites →https://doi.org/10.1007/s11227-010-0421-3openalex-snapshot
Energy efficient utilization of resources in cloud computing systems
inferredcites →https://doi.org/10.1007/s11227-011-0658-5openalex-snapshot
Power-efficient distributed scheduling of virtual machines using workload-aware consolidation techniques
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/s11227-017-2050-6openalex-snapshot
A multi-parameter scheduling method of dynamic workloads for big data calculation in cloud computing
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.2011.04.017openalex-snapshot
Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing
inferredcites →https://doi.org/10.1016/j.future.2011.07.003openalex-snapshot
Cloud brokering mechanisms for optimized placement of virtual machines across multiple providers
inferredcites →https://doi.org/10.1016/j.future.2012.01.007openalex-snapshot
Scheduling strategies for optimal service deployment across multiple clouds
inferredcites →https://doi.org/10.1016/j.future.2012.05.012openalex-snapshot
VM consolidation: A real case based on OpenStack Cloud
inferredcites →https://doi.org/10.1016/j.future.2013.02.005openalex-snapshot
Batch scheduling of consolidated virtual machines based on their workload interference model
inferredcites →https://doi.org/10.1016/j.future.2016.10.025openalex-snapshot
Multi-Capacity Combinatorial Ordering GA in Application to Cloud resources allocation and efficient virtual machines consolidation
inferredcites →https://doi.org/10.1016/j.jpdc.2010.04.004openalex-snapshot
Environment-conscious scheduling of HPC applications on distributed Cloud-oriented data centers
inferredcites →https://doi.org/10.1016/j.jpdc.2010.05.006openalex-snapshot
Resource allocation algorithms for virtualized service hosting platforms
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/ccgrid.2007.85openalex-snapshot
Power Aware Scheduling of Bag-of-Tasks Applications with Deadline Constraints on DVS-enabled Clusters
inferredcites →https://doi.org/10.1109/ccgrid.2010.46openalex-snapshot
Energy Efficient Resource Management in Virtualized Cloud Data Centers
inferredcites →https://doi.org/10.1109/clustr.2009.5289182openalex-snapshot
Power-aware scheduling of virtual machines in DVFS-enabled clusters
inferredcites →https://doi.org/10.1109/mc.2007.443openalex-snapshot
The Case for Energy-Proportional Computing
inferredcites →https://doi.org/10.1145/1273440.1250665openalex-snapshot
Power provisioning for a warehouse-sized computer
inferredcites →https://doi.org/10.14778/1454159.1454162openalex-snapshot
Energy cost, the key challenge of today's data centers
inferredcites →https://doi.org/10.5121/ijfcst.2012.2603openalex-snapshot
A Comparative Study On Heuristic Procedures To Solve Bin Packing Problems
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/cpe.6900openalex-snapshot
Nature‐inspired virtual machine placement mechanisms: A systematic review
inferred← citeshttps://doi.org/10.1002/cpe.70117openalex-snapshot
Entropy‐Aware VM Selection and Placement in Cloud Data Centers
inferred← citeshttps://doi.org/10.1002/dac.4302openalex-snapshot
Task scheduling mechanisms in cloud computing: A systematic review
inferred← citeshttps://doi.org/10.1007/978-3-030-71906-7_5openalex-snapshot
Virtual Machine Placement for Edge and Cloud Computing
inferred← citeshttps://doi.org/10.1007/978-981-19-1520-8_41openalex-snapshot
An Energy-Aware Fog-Enabled Optimized VM Consolidation Scheme for Real-Time Applications
inferred← citeshttps://doi.org/10.1007/978-981-19-2347-0_36openalex-snapshot
Energy Efficient VM Consolidation Technique in Cloud Computing Using Cat Swarm Optimization
inferred← citeshttps://doi.org/10.1007/978-981-99-0085-5_7openalex-snapshot
Linear Regression Model for Predicting Virtual Machine Consolidation Within the Cloud Data Centers (LrmP_VMC)
inferred← citeshttps://doi.org/10.1007/978-981-99-5080-5_16openalex-snapshot
A Novel Framework for VM Selection and Placement in Cloud Environment
inferred← citeshttps://doi.org/10.1007/978-981-99-5166-6_58openalex-snapshot
Virtual Machine Consolidation Techniques to Reduce Energy Consumption in Cloud Data Centers: A Survey
inferred← citeshttps://doi.org/10.1007/s00500-023-09201-wopenalex-snapshot
Reliability-aware web service composition with cost minimization perspective: a multi-objective particle swarm optimization model in multi-cloud scenarios
inferred← citeshttps://doi.org/10.1007/s00607-022-01106-0openalex-snapshot
Intelligent and compliant dynamic software license consolidation in cloud environment
inferred← citeshttps://doi.org/10.1007/s10586-021-03294-4openalex-snapshot
The importance of nature-inspired meta-heuristic algorithms for solving virtual machine consolidation problem in cloud environments
inferred← citeshttps://doi.org/10.1007/s10723-022-09602-5openalex-snapshot
Software License Consolidation and Resource Optimization in Container-based Virtualized Data Centers
inferred← citeshttps://doi.org/10.1007/s10723-022-09627-wopenalex-snapshot
A YARN-based Energy-Aware Scheduling Method for Big Data Applications under Deadline Constraints
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/s11235-024-01184-9openalex-snapshot
RETRACTED ARTICLE: Perspective of virtual machine consolidation in cloud computing: a systematic survey
inferred← citeshttps://doi.org/10.1007/s12293-020-00320-7openalex-snapshot
AntPu: a meta-heuristic approach for energy-efficient and SLA aware management of virtual machines in cloud computing
inferred← citeshttps://doi.org/10.1007/s42979-024-02832-2openalex-snapshot
Efficient Virtual Machine Placement Strategy Based on Enhanced Genetic Approach
inferred← citeshttps://doi.org/10.1016/j.future.2018.11.052openalex-snapshot
Failure-aware energy-efficient VM consolidation in cloud computing systems
inferred← citeshttps://doi.org/10.1016/j.procs.2023.01.037openalex-snapshot
EVMPCSA: Efficient VM Packing mechanism in cloud computing using Chaotic Social Spider Algorithm
inferred← citeshttps://doi.org/10.1016/j.simpat.2024.103034openalex-snapshot
VM consolidation steps in cloud computing: A perspective review
inferred← citeshttps://doi.org/10.1016/j.suscom.2023.100856openalex-snapshot
An energy-efficient topology-aware virtual machine placement in Cloud Datacenters: A multi-objective discrete JAYA optimization
inferred← citeshttps://doi.org/10.1016/j.suscom.2023.100938openalex-snapshot
Machine learning compliance-aware dynamic software allocation for energy, cost and resource-efficient cloud environment
inferred← citeshttps://doi.org/10.1063/1.5123127openalex-snapshot
Complexity of combinatorial ordering genetic algorithms COFFGA and CONFGA
inferred← citeshttps://doi.org/10.1063/5.0177476openalex-snapshot
VM consolidation using optimization techniques: A review
inferred← citeshttps://doi.org/10.1109/access.2023.3314613openalex-snapshot
A Comprehensive Review of Cloud Computing Virtual Machine Consolidation
inferred← citeshttps://doi.org/10.1186/s13677-019-0130-2openalex-snapshot
Multi-Dimensional Regression Host Utilization algorithm (MDRHU) for Host Overload Detection in Cloud Computing
inferred← citeshttps://doi.org/10.32604/csse.2021.014974openalex-snapshot
A Review of Energy-related Cost Issues and Prediction Models in Cloud Computing Environments
inferred← citeshttps://doi.org/10.32604/iasc.2024.050681openalex-snapshot
Systematic Review: Load Balancing in Cloud Computing by Using Metaheuristic Based Dynamic Algorithms
inferred← citeshttps://doi.org/10.3390/sym13020177openalex-snapshot
Color Revolution: A Novel Operator for Imperialist Competitive Algorithm in Solving Cloud Computing Service Composition Problem
inferred← citeshttps://doi.org/10.35940/ijeat.e9547.069520openalex-snapshot
Host Utilization Algorithm to Reduce Energy Consumption in Cloud Computing
inferred← citeshttps://doi.org/10.4018/ijcac.2022010103openalex-snapshot
SMA-LinR: An Energy and SLA-Aware Autonomous Management of Virtual Machines
inferred← citeshttps://doi.org/10.4314/cajost.v5i3.4openalex-snapshot
Algorithm for allocating virtual computers in energy-friendly cloud data centers
inferred← citeshttps://doi.org/10.5204/thesis.eprints.198050openalex-snapshot
Minimising the energy consumption of data centres by genetic algorithms
inferred← citeshttps://doi.org/10.5821/dissertation-2117-166466openalex-snapshot
Power aware resource allocation and virtualization algorithms for 5G core networks
inferred← citeshttps://doi.org/10.7759/s44389-025-04620-2openalex-snapshot
Comparative Analysis of Energy Reduction and Service-Level Agreement Compliance in Cloud and Edge Computing: A Machine Learning Perspective
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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