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Continuous Datacenter Consolidation

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-031-01741-4openalex-snapshot
The Datacenter as a Computer
inferredcites →https://doi.org/10.1007/978-3-642-10445-9_9openalex-snapshot
A Cost-Sensitive Adaptation Engine for Server Consolidation of Multitier Applications
inferredcites →https://doi.org/10.1007/978-3-642-28675-9_9openalex-snapshot
Virtual Machine Placement for Predictable and Time-Constrained Peak Loads
inferredcites →https://doi.org/10.1016/j.comnet.2009.04.015openalex-snapshot
VM3: Measuring, modeling and managing VM shared resources
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/10.1109/cloud.2010.32openalex-snapshot
Characterizing Cloud Federation for Enhancing Providers' Profit
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/cloudnet.2013.6710561openalex-snapshot
Migration-based virtual machine placement in cloud systems
inferredcites →https://doi.org/10.1109/greencom-cpscom.2010.137openalex-snapshot
Multi-Objective Virtual Machine Placement in Virtualized Data Center Environments
inferredcites →https://doi.org/10.1109/indin.2013.6622863openalex-snapshot
Dynamic optimization of virtual machine placement by resource usage prediction
inferredcites →https://doi.org/10.1109/inm.2007.374776openalex-snapshot
Dynamic Placement of Virtual Machines for Managing SLA Violations
inferredcites →https://doi.org/10.1109/iwqos.2013.6550271openalex-snapshot
Joint study on optimizations of data center deployment, VM assignment and migration
inferredcites →https://doi.org/10.1109/mc.2003.1160055openalex-snapshot
The vision of autonomic computing
inferredcites →https://doi.org/10.1109/mc.2010.14openalex-snapshot
Fulfilling the Vision of Autonomic Computing
inferredcites →https://doi.org/10.1109/noms.2006.1687567openalex-snapshot
Application Performance Management in Virtualized Server Environments
inferredcites →https://doi.org/10.1109/noms.2012.6211900openalex-snapshot
An adaptive hybrid elasticity controller for cloud infrastructures
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/tpds.2012.283openalex-snapshot
Dynamic Resource Allocation Using Virtual Machines for Cloud Computing Environment
inferredcites →https://doi.org/10.1109/ucc.2013.42openalex-snapshot
Cost-Optimal Cloud Service Placement under Dynamic Pricing Schemes
inferredcites →https://doi.org/10.1145/1375527.1375555openalex-snapshot
Power-aware dynamic placement of HPC applications
inferredcites →https://doi.org/10.1145/1508293.1508300openalex-snapshot
Entropy
inferredcites →https://doi.org/10.1145/1595422.1595424openalex-snapshot
Virtualizing the Datacenter Without Compromising Server Performance
inferredcites →https://doi.org/10.1145/1952682.1952698openalex-snapshot
Evaluation of delta compression techniques for efficient live migration of large virtual machines
inferredcites →https://doi.org/10.1145/1952682.1952699openalex-snapshot
CloudNet
inferredcites →https://doi.org/10.1145/2465529.2465763openalex-snapshot
Defragmenting the cloud using demand-based resource allocation
inferredcites →https://doi.org/10.1145/2494621.2494627openalex-snapshot
Improving cloud infrastructure utilization through overbooking
inferredcites →https://doi.org/10.1145/261342.571216openalex-snapshot
Approximation Algorithms for NP-Hard Problems
inferredcites →https://doi.org/10.2200/s00193ed1v01y200905cac006openalex-snapshot
The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines
inferredcites →https://doi.org/10.48550/arxiv.1309.5826openalex-snapshot
Simple Destination-Swap Strategies for Adaptive Intra- and Inter-Tenant VM Migration
inferredcites →https://doi.org/10.5555/1251203.1251223openalex-snapshot
Live migration of virtual machines
inferredcites →https://doi.org/10.5555/2170444.2170447openalex-snapshot
Cloud-scale resource management: challenges and techniques

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.4083openalex-snapshot
Which is the best algorithm for virtual machine placement optimization?
inferred← citeshttps://doi.org/10.1002/spe.2579openalex-snapshot
Cloud simulators in the implementation and evaluation of virtual machine placement algorithms
inferred← citeshttps://doi.org/10.1007/978-3-319-44482-6_9openalex-snapshot
Interplay of Virtual Machine Selection and Virtual Machine Placement
inferred← citeshttps://doi.org/10.1007/978-3-319-67262-5_8openalex-snapshot
Two Are Better Than One: An Algorithm Portfolio Approach to Cloud Resource Management
inferred← citeshttps://doi.org/10.1007/978-981-15-3308-2_5openalex-snapshot
Energy Efficient Container Consolidation Method in Cloud Environment Based on Heuristic Algorithm
inferred← citeshttps://doi.org/10.1016/j.future.2015.09.023openalex-snapshot
Decentralized cloud datacenter reconsolidation through emergent and topology-aware behavior
inferred← citeshttps://doi.org/10.1016/j.future.2017.09.021openalex-snapshot
Virtual machine placement for elastic infrastructures in overbooked cloud computing datacenters under uncertainty
inferred← citeshttps://doi.org/10.1016/j.ipl.2018.06.003openalex-snapshot
Optimal energy-efficient placement of virtual machines with divisible sizes
inferred← citeshttps://doi.org/10.1016/j.procs.2018.04.054openalex-snapshot
Runtime Prediction Error Levels for Virtual Machine Placement in IaaS Cloud
inferred← citeshttps://doi.org/10.1109/ccgrid.2017.10openalex-snapshot
Optimized Cloud Deployment of Multi-tenant Software Considering Data Protection Concerns
inferred← citeshttps://doi.org/10.1109/cec.2018.8477708openalex-snapshot
Energy-Aware Container Consolidation Based on PSO in Cloud Data Centers
inferred← citeshttps://doi.org/10.1109/clei.2017.8226393openalex-snapshot
Two-phase virtual machine placement algorithms for cloud computing: An experimental evaluation under uncertainty
inferred← citeshttps://doi.org/10.1109/cloudcom.2014.81openalex-snapshot
Divide the Task, Multiply the Outcome: Cooperative VM Consolidation
inferred← citeshttps://doi.org/10.1109/sose58276.2023.00016openalex-snapshot
The Impact of Directed Pod Eviction on Kubernetes Resource Utilization
inferred← citeshttps://doi.org/10.1109/tc.2016.2529629openalex-snapshot
Multicore-Aware Virtual Machine Placement in Cloud Data Centers
inferred← citeshttps://doi.org/10.1109/tnet.2019.2891787openalex-snapshot
Energy-Efficient Dynamic Virtual Machine Management in Data Centers
inferred← citeshttps://doi.org/10.1109/tpds.2017.2744627openalex-snapshot
Resource Optimization Across the Cloud Stack
inferred← citeshttps://doi.org/10.1145/2797211openalex-snapshot
Allocation of Virtual Machines in Cloud Data Centers—A Survey of Problem Models and Optimization Algorithms
inferred← citeshttps://doi.org/10.19153/cleiej.24.1.7openalex-snapshot
Many-Objective Resource Allocation for Elastic Infrastructures in Overbooked Cloud Computing Datacenters Under Uncertainty
inferred← citeshttps://doi.org/10.23919/itu-wt.2018.8597920openalex-snapshot
Machine Learning Opportunities In Cloud Computing Data Center Management for 5G Services
inferred← citeshttps://doi.org/10.26686/wgtn.17151155openalex-snapshot
An Evolutionary Computation Approach to Resource Allocation in Container-based Clouds
inferred← citeshttps://doi.org/10.48550/arxiv.1802.04245openalex-snapshot
Scalarization Methods for Many-Objective Virtual Machine Placement of Elastic Infrastructures in Overbooked Cloud Computing Data Centers Under Uncertainty
inferred← citeshttps://doi.org/10.48550/arxiv.2111.00240openalex-snapshot
Heuristic and Reinforcement Learning Algorithms for Dynamic Service Placement on Mobile Edge Cloud
inferred← citeshttps://doi.org/10.5753/sbrc.2020.12289openalex-snapshot
Exploiting SLAs through Application of Economic Analysis on Datacenters’ Autonomic Management
inferred← citeshttps://doi.org/10.70675/716f84fazde9dz487azb475z54b0a563571aopenalex-snapshot
Design de l'expérience utilisateur dans les machines virtuelles : l'approche de l'allocation de ressources prédictive pour les infrastructures cloud
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