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Characterizing Power and Energy Usage in Cloud Computing Systems
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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/s10586-007-0045-4openalex-snapshot
Power capping: a prelude to power shifting
inferredcites →https://doi.org/10.1109/clustr.2007.4629213openalex-snapshot
Evaluating memory energy efficiency in parallel I/O workloads
inferredcites →https://doi.org/10.1109/icpp.2007.29openalex-snapshot
CPU MISER: A Performance-Directed, Run-Time System for Power-Aware Clusters
inferredcites →https://doi.org/10.1109/ipdps.2005.346openalex-snapshot
Power and Energy Profiling of Scientific Applications on Distributed Systems
inferredcites →https://doi.org/10.1109/ipdpsw.2010.5470907openalex-snapshot
VMeter: Power modelling for virtualized clouds
inferredcites →https://doi.org/10.1109/isca.2000.854380openalex-snapshot
Wattch: a framework for architectural-level power analysis and optimizations
inferredcites →https://doi.org/10.1109/isca.2006.20openalex-snapshot
Ensemble-level Power Management for Dense Blade Servers
inferredcites →https://doi.org/10.1109/mascot.2008.4770558openalex-snapshot
Profiling, Prediction, and Capping of Power Consumption in Consolidated Environments
inferredcites →https://doi.org/10.1109/mic.2010.34openalex-snapshot
Data Center Operators Face Energy Irony
inferredcites →https://doi.org/10.1109/micro.2002.1176258openalex-snapshot
Orion: a power-performance simulator for interconnection networks
inferredcites →https://doi.org/10.1109/mitp.2008.8openalex-snapshot
Green Supercomputing Comes of Age
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/10.1145/1108956.1108957openalex-snapshot
Power reduction techniques for microprocessor systems
inferredcites →https://doi.org/10.1145/1250662.1250665openalex-snapshot
Power provisioning for a warehouse-sized computer
inferredcites →https://doi.org/10.1145/1375527.1375555openalex-snapshot
Power-aware dynamic placement of HPC applications
inferredcites →https://doi.org/10.1145/1807128.1807136openalex-snapshot
Virtual machine power metering and provisioning
inferredcites →https://doi.org/10.1145/1995896.1995917openalex-snapshot
Coordinating processor and main memory for efficientserver power control
inferredcites →https://doi.org/10.1145/502034.502045openalex-snapshot
Managing energy and server resources in hosting centers
inferredcites →https://doi.org/10.1145/513918.514051openalex-snapshot
Analysis of power consumption on switch fabrics in network routers
inferredcites →https://doi.org/10.1145/514049.514051openalex-snapshot
Analysis of power consumption on switch fabrics in network routers
inferredcites →https://doi.org/10.1145/859618.859621openalex-snapshot
Profile-based dynamic voltage and frequency scaling for a multiple clock domain microprocessor
inferredcites →https://doi.org/10.1145/859619.859621openalex-snapshot
Profile-based dynamic voltage and frequency scaling for a multiple clock domain microprocessor
inferredcites →https://doi.org/10.5555/1251203.1251223openalex-snapshot
Live migration of virtual machines
inferredcites →https://doi.org/10.5555/774861.774893openalex-snapshot
Orion: a power-performance simulator for interconnection networks
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-50330-6_25openalex-snapshot
Efficient Cooling System of Cloud Data Center by Reducing Energy Consumption
inferred← citeshttps://doi.org/10.1007/978-981-15-5566-4_17openalex-snapshot
Energy Consumption Analysis and Proposed Power-Aware Scheduling Algorithm in Cloud Computing
inferred← citeshttps://doi.org/10.1007/s11227-014-1190-1openalex-snapshot
An optimal control policy to realize green cloud systems with SLA-awareness
inferred← citeshttps://doi.org/10.1016/j.rser.2015.07.061openalex-snapshot
Evaluating power efficient algorithms for efficiency and carbon emissions in cloud data centers: A review
inferred← citeshttps://doi.org/10.1016/j.suscom.2017.09.005openalex-snapshot
Energy efficiency comparison of hypervisors
inferred← citeshttps://doi.org/10.1109/apcloudcc.2012.6486511openalex-snapshot
Improving cloud computing energy efficiency
inferred← citeshttps://doi.org/10.1109/cesys.2016.7889945openalex-snapshot
Hybrid soft computing approach for energy efficiency in cloud computing
inferred← citeshttps://doi.org/10.1109/greens.2012.6224255openalex-snapshot
An energy consumption model and analysis tool for Cloud computing environments
inferred← citeshttps://doi.org/10.1109/hpcc/smartcity/dss.2018.00132openalex-snapshot
Event Block Identification and Analysis for Effective Anomaly Detection to Build Reliable HPC Systems
inferred← citeshttps://doi.org/10.1109/hpcc/smartcity/dss.2018.00272openalex-snapshot
Cloud Workload Analytics for Real-Time Prediction of User Request Patterns
inferred← citeshttps://doi.org/10.1109/i2ct45611.2019.9033927openalex-snapshot
Sustainable Energy Consumption Modeling for Cloud Data Centers
inferred← citeshttps://doi.org/10.1109/iceets.2016.7583867openalex-snapshot
Mobile apps for Green Cloud Computing performance measure
inferred← citeshttps://doi.org/10.1109/igcc.2016.7892607openalex-snapshot
Energy efficiency comparison of hypervisors
inferred← citeshttps://doi.org/10.1109/imns67862.2026.11655252openalex-snapshot
Characterizing Predictability–Latency Trade-offs of KV-Cache SSD Offloading in LMCache for LLM Serving Systems
inferred← citeshttps://doi.org/10.1109/most65065.2025.00020openalex-snapshot
Sound: Unknown Object Detection for Autonomous Driving
inferred← citeshttps://doi.org/10.1109/most69733.2026.00018openalex-snapshot
BRIDGE: Task-Aware LiDAR Point Cloud Compression with Optimal Detection-Critical Subset Learning
inferred← citeshttps://doi.org/10.1109/pccc.2012.6407738openalex-snapshot
An adaptive power management framework for autonomic resource configuration in cloud computing infrastructures
inferred← citeshttps://doi.org/10.1109/tetc.2018.2794328openalex-snapshot
An Approach to Optimise Resource Provision with Energy-Awareness in Datacentres by Combating Task Heterogeneity
inferred← citeshttps://doi.org/10.1109/tsc.2019.2961082openalex-snapshot
An On-Line Virtual Machine Consolidation Strategy for Dual Improvement in Performance and Energy Conservation of Server Clusters in Cloud Data Centers
inferred← citeshttps://doi.org/10.1109/tsusc.2017.2722822openalex-snapshot
A Survey on Modeling Energy Consumption of Cloud Applications: Deconstruction, State of the Art, and Trade-Off Debates
inferred← citeshttps://doi.org/10.1145/2479871.2479911openalex-snapshot
Experimental analysis of task-based energy consumption in cloud computing systems
inferred← citeshttps://doi.org/10.1145/2568088.2568093openalex-snapshot
Automated analysis of performance and energy consumption for cloud applications
inferred← citeshttps://doi.org/10.1145/3284557.3284738openalex-snapshot
Impact of Virtualization on Cloud Computing Energy Consumption
inferred← citeshttps://doi.org/10.12794/metadc1609172openalex-snapshot
Event Sequence Identification and Deep Learning Classification for Anomaly Detection and Predication on High-Performance Computing Systems
inferred← citeshttps://doi.org/10.14257/ijgdc.2016.9.11.27openalex-snapshot
Power and QoS Aware Multi-level Resource Coordination and Scheduling in Virtualized Servers
inferred← citeshttps://doi.org/10.25916/sut.26256059openalex-snapshot
Automated support for performance and energy evaluation for cloud applications
inferred← citeshttps://doi.org/10.32604/csse.2024.042690openalex-snapshot
A Systematic Literature Review on Task Allocation and Performance Management Techniques in Cloud Data Center
inferred← citeshttps://doi.org/10.3390/a18010031openalex-snapshot
Characterizing Perception Deep Learning Algorithms and Applications for Vehicular Edge Computing
inferred← citeshttps://doi.org/10.3390/a18050269openalex-snapshot
Assessing Environmental Influences on Flash Storage for Vehicle Computing: A Quantitative and Analytical Investigation
inferred← citeshttps://doi.org/10.3390/s22103704openalex-snapshot
Prediction of Overall Energy Consumption of Data Centers in Different Locations
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