On the public citation graph
Accuracy of Energy Model Calibration with IPMI
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-43177-2_13openalex-snapshot
Towards an Energy-Aware Cloud Architecture for Smart Grids
inferredcites →https://doi.org/10.1016/j.future.2011.05.027openalex-snapshot
Empirical prediction models for adaptive resource provisioning in the cloud
inferredcites →https://doi.org/10.1016/j.future.2013.07.008openalex-snapshot
iMeter: An integrated VM power model based on performance profiling
inferredcites →https://doi.org/10.1016/j.jpdc.2014.06.007openalex-snapshot
A survey of Cloud monitoring tools: Taxonomy, capabilities and objectives
inferredcites →https://doi.org/10.1016/j.simpat.2013.05.002openalex-snapshot
E-mc2: A formal framework for energy modelling in cloud computing
inferredcites →https://doi.org/10.1109/bdcloud.2014.105openalex-snapshot
A Generic and Extensible Framework for Monitoring Energy Consumption of OpenStack Clouds
inferredcites →https://doi.org/10.1109/cloud.2011.42openalex-snapshot
Efficient Autoscaling in the Cloud Using Predictive Models for Workload Forecasting
inferredcites →https://doi.org/10.1109/cloud.2012.112openalex-snapshot
CloudMonitor: Profiling Power Usage
inferredcites →https://doi.org/10.1109/greencom.2012.86openalex-snapshot
Profiling Software for Energy Consumption
inferredcites →https://doi.org/10.1109/grid.2009.5353066openalex-snapshot
Towards autonomic workload provisioning for enterprise Grids and clouds
inferredcites →https://doi.org/10.1109/icsess.2013.6615354openalex-snapshot
VPower: Metering power consumption of VM
inferredcites →https://doi.org/10.1109/ipdpsw.2010.5470907openalex-snapshot
VMeter: Power modelling for virtualized clouds
inferredcites →https://doi.org/10.1109/noms.2012.6212065openalex-snapshot
Workload characterization and prediction in the cloud: A multiple time series approach
inferredcites →https://doi.org/10.1109/seaa.2013.23openalex-snapshot
LiRCUP: Linear Regression Based CPU Usage Prediction Algorithm for Live Migration of Virtual Machines in Data Centers
inferredcites →https://doi.org/10.1109/wac.2014.6936129openalex-snapshot
Optimal calculation overhead for energy efficient cloud workload prediction
inferredcites →https://doi.org/10.1145/1807128.1807136openalex-snapshot
Virtual machine power metering and provisioning
inferredcites →https://doi.org/10.1145/2425248.2425252openalex-snapshot
Measuring energy consumption for short code paths using RAPL
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.5124openalex-snapshot
Rapid and accurate energy models through calibration with IPMI and RAPL
inferred← citeshttps://doi.org/10.1007/978-3-031-85284-8_15openalex-snapshot
Towards an Energy Estimation Model for ABAP Statements on SAP S/4HANA Software
inferred← citeshttps://doi.org/10.1109/iceib61477.2024.10602605openalex-snapshot
Energy Monitoring for Containerized Network Service in Telco Cloud
inferred← citeshttps://doi.org/10.1109/isiict.2018.8613291openalex-snapshot
Energy-aware Self-Adaptive Middleware for Heterogeneous Parallel Architectures
inferred← citeshttps://doi.org/10.1109/mascots59514.2023.10387542openalex-snapshot
Advancing Cloud Sustainability: A Versatile Framework for Container Power Model Training
inferred← citeshttps://doi.org/10.1109/netsoft54395.2022.9844046openalex-snapshot
Low-Latency and Energy-Efficient Frame Forwarding for vRAN Traffic
inferred← citeshttps://doi.org/10.1109/tgcn.2026.3660816openalex-snapshot
Investigating the Potential of Kepler Toward Power Observability for Sustainable Cloud Computing
inferred← citeshttps://doi.org/10.1109/tsusc.2019.2912000openalex-snapshot
Energy-Aware Self-Adaptation for Application Execution on Heterogeneous Parallel Architectures
inferred← citeshttps://doi.org/10.1145/3139367.3139409openalex-snapshot
A comparative study of CPU power consumption models for cloud simulation frameworks
inferred← citeshttps://doi.org/10.1177/10943420251347461openalex-snapshot
Technology trends in computing hardware and their impacts on high-performance scientific computing Part II: Memory systems, interconnects, and system integration
inferred← citeshttps://doi.org/10.1587/transcom.2021ebp3194openalex-snapshot
Energy-Efficient KBP: Kernel Enhancements for Low-Latency and Energy-Efficient Networking
inferred← citeshttps://doi.org/10.3390/electronics13234624openalex-snapshot
The RedFish API and vSphere Hypervisor API: A Unified Framework for Policy-Based Server Monitoring
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