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An energy‐aware virtual machines consolidation method for cloud computing: Simulation and verification
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Adaptive Markov‐based approach for dynamic virtual machine consolidation in cloud data centers with quality‐of‐service constraints
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Virtual Machine Consolidation in Cloud Data Centers Using ACO Metaheuristic
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New Decrease-and-Conquer Strategies for the Dynamic Genetic Algorithm for Server Consolidation
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Energy-efficient migration and consolidation algorithm of virtual machines in data centers for cloud computing
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Energy-aware Virtual Machine Migration for Cloud Computing - A Firefly Optimization Approach
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Topology and Application Aware Dynamic VM Management in the Cloud
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Energy-Aware Virtual Machine Consolidation Algorithm Based on Ant Colony System
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Virtual machine consolidation using constraint-based multi-objective optimization
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An Energy Efficient and Adaptive Threshold VM Consolidation Framework for Cloud Environment
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Virtual Machine Consolidation in Cloud Computing Systems: Challenges and Future Trends
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.2015.09.023openalex-snapshot
Decentralized cloud datacenter reconsolidation through emergent and topology-aware behavior
inferredcites →https://doi.org/10.1016/j.future.2016.12.008openalex-snapshot
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Power efficient server consolidation for Cloud data center
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Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges
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Heterogeneity and thermal aware adaptive heuristics for energy efficient consolidation of virtual machines in infrastructure clouds
inferredcites →https://doi.org/10.1016/j.jss.2018.09.084openalex-snapshot
Energy-aware virtual machine allocation for cloud with resource reservation
inferredcites →https://doi.org/10.1016/j.procs.2016.02.093openalex-snapshot
A Survey of Virtual Machine Placement Techniques in a Cloud Data Center
inferredcites →https://doi.org/10.1016/j.procs.2016.06.005openalex-snapshot
VM Consolidation for Cloud Data Center Using Median Based Threshold Approach
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Energy cost minimization for sustainable cloud computing using option pricing
inferredcites →https://doi.org/10.1016/j.simpat.2018.12.001openalex-snapshot
Energy-aware dynamic resource management in elastic cloud datacenters
inferredcites →https://doi.org/10.1016/j.simpat.2020.102127openalex-snapshot
A novel energy-aware resource management technique using joint VM and container consolidation approach for green computing in cloud data centers
inferredcites →https://doi.org/10.1016/j.suscom.2018.01.002openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.suscom.2018.02.001openalex-snapshot
An energy efficient and SLA compliant approach for resource allocation and consolidation in cloud computing environments
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/10.1016/j.suscom.2018.10.003openalex-snapshot
Optimizing energy consumption for a performance-aware cloud data center in the public sector
inferredcites →https://doi.org/10.1016/j.suscom.2021.100524openalex-snapshot
Application of virtual machine consolidation in cloud computing systems
inferredcites →https://doi.org/10.1109/access.2019.2913175openalex-snapshot
An Energy-Aware Algorithm for Virtual Machine Placement in Cloud Computing
inferredcites →https://doi.org/10.1109/ccgrid.2010.45openalex-snapshot
Energy Efficient Allocation of Virtual Machines in Cloud Data Centers
inferredcites →https://doi.org/10.1109/cloud.2012.86openalex-snapshot
Risk Aware Provisioning and Resource Aggregation Based Consolidation of Virtual Machines
inferredcites →https://doi.org/10.1109/iccnc.2015.7069434openalex-snapshot
Joint optimization of VM placement and request distribution for electricity cost cut in geo-distributed data centers
inferredcites →https://doi.org/10.1109/infcom.2011.5934917openalex-snapshot
Managing cost, performance, and reliability tradeoffs for energy-aware server provisioning
inferredcites →https://doi.org/10.1109/jsyst.2015.2498639openalex-snapshot
A Two-Way Street: Green Big Data Processing for a Greener Smart Grid
inferredcites →https://doi.org/10.1145/1807128.1807136openalex-snapshot
Virtual machine power metering and provisioning
inferredcites →https://doi.org/10.1145/1989493.1989554openalex-snapshot
Sharing-aware algorithms for virtual machine colocation
inferredcites →https://doi.org/10.1145/2254756.2254778openalex-snapshot
Temperature management in data centers
inferredcites →https://doi.org/10.1145/2377677.2377760openalex-snapshot
Surviving failures in bandwidth-constrained datacenters
inferredcites →https://doi.org/10.1155/2014/816518openalex-snapshot
Energy Efficient Multiresource Allocation of Virtual Machine Based on PSO in Cloud Data Center
inferredcites →https://doi.org/10.1186/s13677-019-0126-yopenalex-snapshot
Energy-aware VM placement algorithms for the OpenStack Neat consolidation framework
inferredcites →https://doi.org/10.1515/cait-2016-0023openalex-snapshot
Evolutionary Computing Based on QoS Oriented Energy Efficient VM Consolidation Scheme for Large Scale Cloud Data Centers
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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enCloud: Aspect‐oriented trusted service migration on SGX‐enabled cloud VM
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Resource-Efficient and Quality-Aware Virtual Machine Consolidation Method
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SR-PSO: server residual efficiency-aware particle swarm optimization for dynamic virtual machine scheduling
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.jestch.2023.101611openalex-snapshot
Energy-latency trade-off analysis for scientific workflow in cloud environments: The role of processor utilization ratio and mean grey wolf optimizer
inferred← citeshttps://doi.org/10.1016/j.rser.2022.112782openalex-snapshot
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GWO-SA: Gray Wolf Optimization Algorithm for Service Activation Management in Fog Computing
inferred← citeshttps://doi.org/10.1109/bigcom61073.2023.00031openalex-snapshot
A Local Regression-Based SLA-Aware Energy-Efficient Virtual Machine Consolidation Algorithm in Data Centers
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A Survey on Scheduling Techniques in Computing and Network Convergence
inferred← citeshttps://doi.org/10.1109/incacct57535.2023.10141753openalex-snapshot
An Analytical Review of VM Allocation and Migration Policies in Cloud Computing
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FedAIM: Graph-Driven Scheduling for Concurrent Asynchronous Federated Learning in Computing Power Networks
inferred← citeshttps://doi.org/10.1109/tpds.2024.3522085openalex-snapshot
Online Elastic Resource Provisioning With QoS Guarantee in Container-Based Cloud Computing
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Energy-Aware Dynamic Virtual Machine Scheduling in Cloud Computing: A Survey
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An IFWA-BSA Based Approach for Task Scheduling in Cloud Computing
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VMP-ER: An Efficient Virtual Machine Placement Algorithm for Energy and Resources Optimization in Cloud Data Center
inferred← citeshttps://doi.org/10.3390/math11163563openalex-snapshot
A Hybrid Many-Objective Optimization Algorithm for Job Scheduling in Cloud Computing Based on Merge-and-Split Theory
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Paving the Path to a Sustainable Digital Future With Green Cloud Computing
inferred← citeshttps://doi.org/10.5204/thesis.eprints.250810openalex-snapshot
Enhanced genetic algorithms towards virtual resource management for energy efficiency in data centres
inferred← citeshttps://doi.org/10.52547/itrc.14.2.14openalex-snapshot
Cost Reduction Using SLA-Aware Genetic Algorithm for Consolidation of Virtual Machines in Cloud Data Centers
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An Energy-Efficient VM Selection Using Updated Dragonfly Algorithm in Cloud Computing
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