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Characterizing Energy per Job in Cloud Applications
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-15786-3_6openalex-snapshot
Analysis of the Influence of Application Deployment on Energy Consumption
inferredcites →https://doi.org/10.1007/978-3-319-31559-1_4openalex-snapshot
Stochastic Analysis of Energy Consumption in Pool Depletion Systems
inferredcites →https://doi.org/10.1016/b978-0-12-385512-1.00003-7openalex-snapshot
A Taxonomy and Survey of Energy-Efficient Data Centers and Cloud Computing Systems
inferredcites →https://doi.org/10.1016/j.comnet.2013.04.001openalex-snapshot
Cloud monitoring: A survey
inferredcites →https://doi.org/10.1016/s0166-5316(97)00005-9openalex-snapshot
Asymptotic analysis of multiclass closed queueing networks: Multiple bottlenecks
inferredcites →https://doi.org/10.1109/comst.2015.2481183openalex-snapshot
Data Center Energy Consumption Modeling: A Survey
inferredcites →https://doi.org/10.1109/hipc.2012.6507527openalex-snapshot
Energy aware colocation of workload in data centers
inferredcites →https://doi.org/10.1109/icccnt.2013.6726664openalex-snapshot
Double threshold energy aware load balancing in cloud computing
inferredcites →https://doi.org/10.1109/iccw.2016.7503827openalex-snapshot
On resource description capabilities of on-board tools for resource management in cloud networking and NFV infrastructures
inferredcites →https://doi.org/10.1109/ipdpsw.2010.5470907openalex-snapshot
VMeter: Power modelling for virtualized clouds
inferredcites →https://doi.org/10.1109/ipdpsw.2014.94openalex-snapshot
Energy-Aware Load Balancing Policies for the Cloud Ecosystem
inferredcites →https://doi.org/10.1109/isads.2013.6513411openalex-snapshot
Improved energy-efficiency in cloud datacenters with interference-aware virtual machine placement
inferredcites →https://doi.org/10.1109/mc.2007.443openalex-snapshot
The Case for Energy-Proportional Computing
inferredcites →https://doi.org/10.1109/mcc.2015.15openalex-snapshot
Recent Trends in Energy-Efficient Cloud Computing
inferredcites →https://doi.org/10.1109/tcc.2015.2396059openalex-snapshot
Energy-Aware Load Balancing and Application Scaling for the Cloud Ecosystem
inferredcites →https://doi.org/10.1109/tcc.2015.2453988openalex-snapshot
On Achieving Energy Efficiency and Reducing CO2Footprint in Cloud Computing
inferredcites →https://doi.org/10.1109/tcc.2015.2464796openalex-snapshot
CO2-Aware Adaptation Strategies for Cloud Applications
inferredcites →https://doi.org/10.1109/tpds.2013.183openalex-snapshot
Power Consumption Estimation Models for Processors, Virtual Machines, and Servers
inferredcites →https://doi.org/10.1142/s0218843014500014openalex-snapshot
A Survey on Energy Efficiency in Information Systems
inferredcites →https://doi.org/10.1145/1250662.1250665openalex-snapshot
Power provisioning for a warehouse-sized computer
inferredcites →https://doi.org/10.1145/1807128.1807136openalex-snapshot
Virtual machine power metering and provisioning
inferredcites →https://doi.org/10.1145/1837274.1837478openalex-snapshot
A system for online power prediction in virtualized environments using Gaussian mixture models
inferredcites →https://doi.org/10.1145/2160803.2160868openalex-snapshot
Usage centric green performance indicators
inferredcites →https://doi.org/10.1145/2742488openalex-snapshot
Energy Efficiency Techniques in Cloud Computing
inferredcites →https://doi.org/10.1504/ijssc.2012.048897openalex-snapshot
Applying green metrics to optimise the energy consumption footprint of IT service centres
inferredcites →https://doi.org/10.3354/meps10368openalex-snapshot
Integrating field data into individual-based models of the migration of European eel larvae
inferredcites →https://doi.org/10.3390/fi5020128openalex-snapshot
Energy–QoS Trade-Offs in Mobile Service Selection
inferredcites →https://doi.org/10.5555/1298455.1298485openalex-snapshot
Ceph: a scalable, high-performance distributed file system
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-319-61428-1_12openalex-snapshot
Modeling Multiclass Task-Based Applications on Heterogeneous Distributed Environments
inferred← citeshttps://doi.org/10.1007/978-3-319-90415-3openalex-snapshot
Autonomous Control for a Reliable Internet of Services
inferred← citeshttps://doi.org/10.1007/978-3-319-90415-3_10openalex-snapshot
Energy vs. QoX Network- and Cloud Services Management
inferred← citeshttps://doi.org/10.1016/j.entcs.2018.03.033openalex-snapshot
Performance Evaluation of Replication Policies in Microservice Based Architectures
inferred← citeshttps://doi.org/10.1109/bigdata52589.2021.9671753openalex-snapshot
Efficient and Distributed Temporal Pattern Mining
inferred← citeshttps://doi.org/10.1109/icde55515.2023.00174openalex-snapshot
Mining Seasonal Temporal Patterns in Time Series
inferred← citeshttps://doi.org/10.1145/3077839.3084026openalex-snapshot
Improving Energy Efficiency for Transactional Workloads in Cloud Environments
inferred← citeshttps://doi.org/10.14778/3494124.3494147openalex-snapshot
Efficient temporal pattern mining in big time series using mutual information
inferred← citeshttps://doi.org/10.3390/electronics7010005openalex-snapshot
Energy Saving in Data Centers
inferred← citeshttps://doi.org/10.3390/electronics8070775openalex-snapshot
An Energy Efficient Task Scheduling Strategy in a Cloud Computing System and its Performance Evaluation using a Two-Dimensional Continuous Time Markov Chain Model
inferred← citeshttps://doi.org/10.3390/su10061919openalex-snapshot
Server Operation and Virtualization to Save Energy and Cost in Future Sustainable Computing
inferred← citeshttps://doi.org/10.54337/aau617104352openalex-snapshot
Efficiently Mining Temporal Patterns in Time Series Using Information Theory
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