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A Generic and Extensible Framework for Monitoring Energy Consumption of OpenStack Clouds
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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.3314openalex-snapshot
OpenStack Neat: a framework for dynamic and energy‐efficient consolidation of virtual machines in OpenStack clouds
inferredcites →https://doi.org/10.1007/978-1-4614-0508-5_3openalex-snapshot
The Green Grid’5000: Instrumenting and Using a Grid with Energy Sensors
inferredcites →https://doi.org/10.1007/978-3-642-40517-4_1openalex-snapshot
Solving Some Mysteries in Power Monitoring of Servers: Take Care of Your Wattmeters!
inferredcites →https://doi.org/10.1016/j.comnet.2013.04.001openalex-snapshot
Cloud monitoring: A survey
inferredcites →https://doi.org/10.1109/cgc.2012.127openalex-snapshot
CompatibleOne: Designing an Energy Efficient Open Source Cloud Broker
inferredcites →https://doi.org/10.1109/cloudcom.2013.164openalex-snapshot
Varanus: In Situ Monitoring for Large Scale Cloud Systems
inferredcites →https://doi.org/10.1109/clustr.2009.5289182openalex-snapshot
Power-aware scheduling of virtual machines in DVFS-enabled clusters
inferredcites →https://doi.org/10.1109/icdmw.2010.172openalex-snapshot
S4: Distributed Stream Computing Platform
inferredcites →https://doi.org/10.1109/icpads.2008.97openalex-snapshot
Save Watts in Your Grid: Green Strategies for Energy-Aware Framework in Large Scale Distributed Systems
inferredcites →https://doi.org/10.1109/icppw.2014.62openalex-snapshot
HPC Performance and Energy-Efficiency of the OpenStack Cloud Middleware
inferredcites →https://doi.org/10.1109/igcc.2013.6604506openalex-snapshot
Your cluster is not power homogeneous: Take care when designing green schedulers!
inferredcites →https://doi.org/10.1109/jproc.2010.2060451openalex-snapshot
Green Cloud Computing: Balancing Energy in Processing, Storage, and Transport
inferredcites →https://doi.org/10.1109/tpds.2012.167openalex-snapshot
Resilient Self-Compressive Monitoring for Large-Scale Hosting Infrastructures
inferredcites →https://doi.org/10.1109/ucc.2013.103openalex-snapshot
Scalable Monitoring System for Clouds
inferredcites →https://doi.org/10.1145/1791314.1791329openalex-snapshot
Multi-facet approach to reduce energy consumption in clouds and grids
inferredcites →https://doi.org/10.1145/375663.375677openalex-snapshot
Filtering algorithms and implementation for very fast publish/subscribe systems
inferredcites →https://doi.org/10.1145/376284.375677openalex-snapshot
Filtering algorithms and implementation for very fast publish/subscribe systems
inferredcites →https://doi.org/10.1145/857076.857078openalex-snapshot
The many faces of publish/subscribe
inferredcites →https://doi.org/10.1177/1094342006070078openalex-snapshot
Grid'5000: A Large Scale And Highly Reconfigurable Experimental Grid Testbed
inferredcites →https://doi.org/10.70675/122b8657za966z488aza2ddz7918eb8dcbe1openalex-snapshot
Towards a better understanding of the energy consumption of software systems
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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Balancing QoS and power consumption in programmable 5G infrastructures
inferred← citeshttps://doi.org/10.1007/978-3-030-02849-7_16openalex-snapshot
Towards an Optimized Energy Consumption of Resources in Cloud Data Centers
inferred← citeshttps://doi.org/10.1007/978-3-319-43177-2_13openalex-snapshot
Towards an Energy-Aware Cloud Architecture for Smart Grids
inferred← citeshttps://doi.org/10.1007/978-3-319-49580-4_2openalex-snapshot
On Designing SDN Services for Energy-Aware Traffic Engineering
inferred← citeshttps://doi.org/10.1007/978-3-662-49381-6_31openalex-snapshot
Using a Cloud Computing Telemetry Service to Assess PaaS Setups
inferred← citeshttps://doi.org/10.1007/s11042-018-7050-xopenalex-snapshot
Energy efficiency for edge multimedia elastic applications
inferred← citeshttps://doi.org/10.1007/s11107-017-0709-9openalex-snapshot
Designing and building SDN testbeds for energy-aware traffic engineering services
inferred← citeshttps://doi.org/10.1016/j.suscom.2017.10.013openalex-snapshot
Energy monitoring as an essential building block towards sustainable ultrascale systems
inferred← citeshttps://doi.org/10.1016/j.suscom.2021.100582openalex-snapshot
Energy and latency reductions at the fog gateway using a machine learning classifier
inferred← citeshttps://doi.org/10.1088/1757-899x/677/5/052039openalex-snapshot
Research and Software Implementation of Document Service System Based on Cloud Platform
inferred← citeshttps://doi.org/10.1109/ants.2017.8384138openalex-snapshot
Towards policy-driven power management for cloud computing
inferred← citeshttps://doi.org/10.1109/bdcloud.2014.99openalex-snapshot
Towards Generalizing "Big Little" for Energy Proportional HPC and Cloud Infrastructures
inferred← citeshttps://doi.org/10.1109/ccgrid.2015.101openalex-snapshot
A Scheduler-Level Incentive Mechanism for Energy Efficiency in HPC
inferred← citeshttps://doi.org/10.1109/clei.2016.7833381openalex-snapshot
GreenHop: Open source PUE continuous monitoring for small and medium data centers
inferred← citeshttps://doi.org/10.1109/cloud.2016.0091openalex-snapshot
Accuracy of Energy Model Calibration with IPMI
inferred← citeshttps://doi.org/10.1109/cluster.2016.34openalex-snapshot
Dynamically Building Energy Proportional Data Centers with Heterogeneous Computing Resources
inferred← citeshttps://doi.org/10.1109/cnsm.2016.7818424openalex-snapshot
On the impact of advance reservations for energy-aware provisioning of bare-metal cloud resources
inferred← citeshttps://doi.org/10.1109/cvidl51233.2020.0-100openalex-snapshot
Monitoring System of OpenStack Cloud Platform Based on Prometheus
inferred← citeshttps://doi.org/10.1109/fmec.2017.7946418openalex-snapshot
Exploring the trade-off between performance and energy consumption in cloud infrastructures
inferred← citeshttps://doi.org/10.1109/fmec.2018.8364044openalex-snapshot
OpenStack extensions for QoS and energy efficiency in edge computing
inferred← citeshttps://doi.org/10.1109/hpcc-dss-smartcity-dependsys57074.2022.00207openalex-snapshot
Secure and Efficient BMC-Based Centralized Management Method for Large-Scale Data Centers
inferred← citeshttps://doi.org/10.1109/hpcs.2018.00056openalex-snapshot
Building the Table of Energy and Power Leverages for Energy Efficient Large Scale Systems
inferred← citeshttps://doi.org/10.1109/icbdsc.2016.7460373openalex-snapshot
Energy-consumption clustering in cloud data centre
inferred← citeshttps://doi.org/10.1109/icpads.2016.0136openalex-snapshot
Energy Proportionality in Heterogeneous Data Center Supporting Applications with Variable Load
inferred← citeshttps://doi.org/10.1109/isetc.2016.7781055openalex-snapshot
Advanced monitoring of the OpenStack NFV infrastructure: A Nagios approach using SNMP
inferred← citeshttps://doi.org/10.1109/netsoft.2017.8004249openalex-snapshot
A framework to correlate power consumption and resource usage in cloud infrastructures
inferred← citeshttps://doi.org/10.1109/sbac-pad.2016.34openalex-snapshot
Energy Aware Dynamic Provisioning for Heterogeneous Data Centers
inferred← citeshttps://doi.org/10.1109/sustainit.2015.7101358openalex-snapshot
Adding energy efficiency to Openstack
inferred← citeshttps://doi.org/10.1109/ucc.2015.95openalex-snapshot
Enhancing Energy-Efficient Cloud Management through Code Annotations and the Green Abstraction Layer
inferred← citeshttps://doi.org/10.1142/s0129626415410066openalex-snapshot
“Big, Medium, Little”: Reaching Energy Proportionality with Heterogeneous Computing Scheduler
inferred← citeshttps://doi.org/10.1145/3676151.3719371openalex-snapshot
Understanding the Energy Consumption of Cloud-native Software Systems
inferred← citeshttps://doi.org/10.1145/3702879.3702916openalex-snapshot
Design of distributed data collection system based on private cloud
inferred← citeshttps://doi.org/10.1186/s13677-018-0111-xopenalex-snapshot
Proactive dynamic virtual-machine consolidation for energy conservation in cloud data centres
inferred← citeshttps://doi.org/10.32920/17139047openalex-snapshot
An Energy-Aware Real-Time VM-Provisioning Framework For Heterogeneous Data Centres
inferred← citeshttps://doi.org/10.32920/17139047.v1openalex-snapshot
An Energy-Aware Real-Time VM-Provisioning Framework For Heterogeneous Data Centres
inferred← citeshttps://doi.org/10.3390/computers7020036openalex-snapshot
Improving Efficiency of Edge Computing Infrastructures through Orchestration Models †
inferred← citeshttps://doi.org/10.4108/icst.tridentcom.2015.259704openalex-snapshot
A Unified Monitoring Framework for Energy Consumption and Network Traffic
inferred← citeshttps://doi.org/10.70675/668f3853z31f4z47aaz9b78z96245a4957e5openalex-snapshot
Scheduling and Dynamic Provisioning for Energy Proportional Heterogeneous Infrastructures
inferred← citeshttps://doi.org/10.70675/7514aa15zc8c4z4114z9f8ez0d113a0fe2b2openalex-snapshot
Discover, model and combine energy leverages for large scale energy efficient infrastructures
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