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Utilization Prediction Aware VM Consolidation Approach for Green 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
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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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pMapper: Power and Migration Cost Aware Application Placement in Virtualized Systems
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EnaCloud: An Energy-Saving Application Live Placement Approach for Cloud Computing Environments
inferredcites →https://doi.org/10.1109/cloud.2014.70openalex-snapshot
A virtual machine placement algorithm for balanced resource utilization in cloud data centers
inferredcites →https://doi.org/10.1109/icac.2008.31openalex-snapshot
Power and Performance Management of Virtualized Computing Environments Via Lookahead Control
inferredcites →https://doi.org/10.1109/inm.2007.374776openalex-snapshot
Dynamic Placement of Virtual Machines for Managing SLA Violations
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Virtual machine monitors: current technology and future trends
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LiRCUP: Linear Regression Based CPU Usage Prediction Algorithm for Live Migration of Virtual Machines in Data Centers
inferredcites →https://doi.org/10.1109/tit.1967.1053964openalex-snapshot
Nearest neighbor pattern classification
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/ucc.2013.51openalex-snapshot
Energy Aware Consolidation Algorithm Based on K-Nearest Neighbor Regression for Cloud Data Centers
inferredcites →https://doi.org/10.4103/0256-4602.81230openalex-snapshot
Sercon: Server Consolidation Algorithm using Live Migration of Virtual Machines for Green Computing
inferredcites →https://doi.org/10.5555/1251203.1251223openalex-snapshot
Live migration of virtual machines
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Performance Comparison of Deep VM Workload Prediction Approaches for Cloud
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Bio-inspired Threshold Based VM Migration for Green Cloud
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Amalgamation of Neural Network and Genetic Algorithm for Efficient Workload Prediction in Data Center
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A Survey on the Current Challenges of Energy-Efficient Cloud Resources Management
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An approach towards development of new linear regression prediction model for reduced energy consumption and SLA violation in the domain of green cloud computing
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