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Reducing Operational Costs through Consolidation with Resource Prediction in the Cloud
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1109/infcom.2011.5934885openalex-snapshot
Dynamic right-sizing for power-proportional data centers
inferredcites →https://doi.org/10.1109/mc.2004.217openalex-snapshot
Power and energy management for server systems
inferredcites →https://doi.org/10.1109/sc.2010.43openalex-snapshot
Power-Aware Consolidation of Scientific Workflows in Virtualized Environments
inferredcites →https://doi.org/10.1109/tnet.2012.2226216openalex-snapshot
Dynamic Right-Sizing for Power-Proportional Data Centers
inferredcites →https://doi.org/10.1109/tpds.2009.76openalex-snapshot
PowerPack: Energy Profiling and Analysis of High-Performance Systems and Applications
inferredcites →https://doi.org/10.1109/tpds.2010.208openalex-snapshot
Energy Conscious Scheduling for Distributed Computing Systems under Different Operating Conditions
inferredcites →https://doi.org/10.1145/1064212.1064253openalex-snapshot
Managing server energy and operational costs in hosting centers
inferredcites →https://doi.org/10.1145/1071690.1064253openalex-snapshot
Managing server energy and operational costs in hosting centers
inferredcites →https://doi.org/10.1145/1791314.1791350openalex-snapshot
A dynamic optimization model for power and performance management of virtualized clusters
inferredcites →https://doi.org/10.1145/1890799.1890803openalex-snapshot
Adaptive threshold-based approach for energy-efficient consolidation of virtual machines in cloud data centers
inferredcites →https://doi.org/10.1214/aos/1176349407openalex-snapshot
Logical and Algorithmic Properties of Conditional Independence and Graphical Models
inferredcites →https://doi.org/10.2172/929723openalex-snapshot
Report to Congress on Server and Data Center Energy Efficiency: Public Law 109-431
inferredcites →https://doi.org/10.2307/1912004openalex-snapshot
Maximum Likelihood Estimation of Misspecified Models
inferredcites →https://doi.org/10.2307/1912526openalex-snapshot
Maximum Likelihood Estimation of Misspecified Models
inferredcites →https://doi.org/10.5555/2170444.2170458openalex-snapshot
Enabling consolidation and scaling down to provide power management for cloud computing
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-319-43177-2_3openalex-snapshot
Cost-Aware VM Placement Across Distributed DCs Using Bayesian Networks
inferred← citeshttps://doi.org/10.1007/s10586-019-03032-xopenalex-snapshot
Efficient VM migrations using forecasting techniques in cloud computing: a comprehensive review
inferred← citeshttps://doi.org/10.1007/s11227-021-03760-1openalex-snapshot
Comprehensive survey on energy-aware server consolidation techniques in cloud computing
inferred← citeshttps://doi.org/10.1016/j.future.2016.04.020openalex-snapshot
Robust partial-load experiments with Showstopper
inferred← citeshttps://doi.org/10.1016/j.future.2016.11.013openalex-snapshot
Reprint of “Robust partial-load experiments with Showstopper”
inferred← citeshttps://doi.org/10.1016/j.simpat.2012.12.008openalex-snapshot
Performance evaluation of green data centre management supporting sustainable growth of the internet of things
inferred← citeshttps://doi.org/10.1109/ccgrid.2015.164openalex-snapshot
Analyzing the Impact of CPU Pinning and Partial CPU Loads on Performance and Energy Efficiency
inferred← citeshttps://doi.org/10.1109/cloudcom.2013.43openalex-snapshot
Flexible SLAs in the Cloud with a Partial Utility-Driven Scheduling Architecture
inferred← citeshttps://doi.org/10.1109/compcomm.2016.7924927openalex-snapshot
Autoscaling prediction models for cloud resource provisioning
inferred← citeshttps://doi.org/10.1109/i2ct.2018.8529674openalex-snapshot
Dynamic Resource Allocation Using Fuzzy Prediction System
inferred← citeshttps://doi.org/10.1109/icac.2016.32openalex-snapshot
Autonomic Resource Management for Optimized Power and Performance in Multi-tenant Clouds
inferred← citeshttps://doi.org/10.1109/icccbda.2016.7529565openalex-snapshot
Workload prediction for cloud computing elasticity mechanism
inferred← citeshttps://doi.org/10.1109/icdcs.2018.00069openalex-snapshot
Right-Sizing Server Capacity Headroom for Global Online Services
inferred← citeshttps://doi.org/10.1109/icrtit.2013.6844223openalex-snapshot
Power aware resource optimization in cloud
inferred← citeshttps://doi.org/10.1109/sc.2016.56openalex-snapshot
GreenLA: Green Linear Algebra Software for GPU-accelerated Heterogeneous Computing
inferred← citeshttps://doi.org/10.1109/tcc.2015.2481400openalex-snapshot
Towards Efficient Resource Allocation for Heterogeneous Workloads in IaaS Clouds
inferred← citeshttps://doi.org/10.1109/tetc.2014.2310455openalex-snapshot
Ensemble Learning for Large-Scale Workload Prediction
inferred← citeshttps://doi.org/10.1109/tpds.2016.2549016openalex-snapshot
Cost Minimization Algorithms for Data Center Management
inferred← citeshttps://doi.org/10.1145/2593793.2593799openalex-snapshot
Towards exploiting the full adaptation potential of cloud applications
inferred← citeshttps://doi.org/10.1515/jisys-2016-0016openalex-snapshot
Disruption Management for Predictable New Job Arrivals in Cloud Manufacturing
inferred← citeshttps://doi.org/10.15623/ijret.2014.0317006openalex-snapshot
A COMPENDIUM ON LOAD FORECASTING APPROACHES AND MODELS
inferred← citeshttps://doi.org/10.32657/10356/66012openalex-snapshot
Cost-effective and Qos-aware resource allocation for cloud computing
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