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CloudMonitor: Profiling Power Usage

https://doi.org/10.1109/cloud.2012.112

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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/spe.1072openalex-snapshot

The Cloud Adoption Toolkit: supporting cloud adoption decisions in the enterprise

inferredcites →https://doi.org/10.1109/ipdpsw.2010.5470907openalex-snapshot

VMeter: Power modelling for virtualized clouds

inferredcites →https://doi.org/10.1145/1168857.1168881openalex-snapshot

Accurate and efficient regression modeling for microarchitectural performance and power prediction

inferredcites →https://doi.org/10.1145/1807128.1807136openalex-snapshot

Virtual machine power metering and provisioning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Rapid and accurate energy models through calibration with IPMI and RAPL

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Predictions and Modeling Energy Consumption for IT Data Center

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Predicting Virtual Machine’s Power via a RBF Neural Network

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Towards an Energy-Aware Cloud Architecture for Smart Grids

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Costradamus: A Cost-Tracing System for Cloud-Based Software Services

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The Efficient Utilization of Energy in Cloud Computing Data Centers

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Energy and Makespan Aware Scheduling of Deadline Sensitive Tasks in the Cloud Environment

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Resource Management in Clouds: Survey and Research Challenges

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Capping carbon emission from green data centers

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A cloud server energy consumption measurement system for heterogeneous cloud environments

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Linear Power Modeling for Cloud Data Centers: Taxonomy, Locally Corrected Linear Regression, Simulation Framework and Evaluation

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A Dynamic Virtual Machine Resource Consolidation Strategy Based on a Gray Model and Improved Discrete Particle Swarm Optimization

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ACTOR: Active Cloud Storage with Energy-Efficient On-Drive Data Processing

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An Application Deployment Approach Based on Hybrid Cloud

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Understanding Tradeoffs between Power Usage and Performance in a Virtualized Environment

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The Impact of Vectorization on Erasure Code Computing in Cloud Storages - A Performance and Power Consumption Study

inferred← citeshttps://doi.org/10.1109/cloud.2016.0091openalex-snapshot

Accuracy of Energy Model Calibration with IPMI

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Data Center Energy Consumption Modeling: A Survey

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Thermal Aware Power Save Policy For Hot And Cold Jobs

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Impact of Thermal Hotspots Formation in High Performance Computing

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Estimating the Power Consumption of an Idle Virtual Machine

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A survey on energy and power consumption models for Greener Cloud

inferred← citeshttps://doi.org/10.1109/icc40277.2020.9149173openalex-snapshot

Green Containerized Service Consolidation in Cloud

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A study on energy efficient cloud computing

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An empirical study of performance, power consumption, and energy cost of erasure code computing for HPC cloud storage systems

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Accelerating the Energy Efficient Design of Traditional Data Centers Through Modeling

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PASSI: A Parallel, Reliable and Scalable Storage Software Infrastructure for active storage system and I/O environments

inferred← citeshttps://doi.org/10.1109/sigtelcom49868.2020.9199061openalex-snapshot

Energy-aware and load balancing based dynamic migration strategy for virtual machine

inferred← citeshttps://doi.org/10.1109/surv.2013.070813.00285openalex-snapshot

Cloud-Based Augmentation for Mobile Devices: Motivation, Taxonomies, and Open Challenges

inferred← citeshttps://doi.org/10.1145/3390605openalex-snapshot

Computing Server Power Modeling in a Data Center

inferred← citeshttps://doi.org/10.1145/3406208openalex-snapshot

A Taxonomy and Survey of Power Models and Power Modeling for Cloud Servers

inferred← citeshttps://doi.org/10.1145/3629527.3651418openalex-snapshot

Empirical Evaluation of ML Models for Per-Job Power Prediction

inferred← citeshttps://doi.org/10.11606/d.3.2017.tde-10112017-105138openalex-snapshot

Energy management for cloud computing environment.

inferred← citeshttps://doi.org/10.21203/rs.3.rs-2058817/v1openalex-snapshot

Designing Energy Efficiency for Traditional Data Center

inferred← citeshttps://doi.org/10.5120/21628-4934openalex-snapshot

Optimal Energy Efficient Scheduling based on VM Energy Consumption in Cloud

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Supporting energy-awareness for cloud users

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