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HEROS: Energy-Efficient Load Balancing for Heterogeneous Data Centers

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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.3316openalex-snapshot
A holistic model of the performance and the energy efficiency of hypervisors in a high‐performance computing environment
inferredcites →https://doi.org/10.1007/s10586-011-0177-4openalex-snapshot
DENS: data center energy-efficient network-aware scheduling
inferredcites →https://doi.org/10.1007/s10586-014-0365-0openalex-snapshot
Data center energy efficient resource scheduling
inferredcites →https://doi.org/10.1007/s11227-010-0504-1openalex-snapshot
GreenCloud: a packet-level simulator of energy-aware cloud computing data centers
inferredcites →https://doi.org/10.1016/j.asoc.2014.07.010openalex-snapshot
Multi-objective evolutionary algorithms for energy-aware scheduling on distributed computing systems
inferredcites →https://doi.org/10.1016/j.jpdc.2010.04.004openalex-snapshot
Environment-conscious scheduling of HPC applications on distributed Cloud-oriented data centers
inferredcites →https://doi.org/10.1093/biomet/52.3-4.591openalex-snapshot
An Analysis of Variance Test for Normality (Complete Samples)
inferredcites →https://doi.org/10.1109/cloud.2013.40openalex-snapshot
CA-DAG: Communication-Aware Directed Acyclic Graphs for Modeling Cloud Computing Applications
inferredcites →https://doi.org/10.1109/cloudcom.2013.84openalex-snapshot
A Holistic Model for Resource Representation in Virtualized Cloud Computing Data Centers
inferredcites →https://doi.org/10.1109/glocom.2012.6503497openalex-snapshot
Energy models driven green routing for data centers
inferredcites →https://doi.org/10.1109/greencom-cpscom.2010.31openalex-snapshot
DENS: Data Center Energy-Efficient Network-Aware Scheduling
inferredcites →https://doi.org/10.1109/greencom-ithings-cpscom.2013.28openalex-snapshot
e-STAB: Energy-Efficient Scheduling for Cloud Computing Applications with Traffic Load Balancing
inferredcites →https://doi.org/10.1109/hpcsim.2014.6903792openalex-snapshot
Management of an academic HPC cluster: The UL experience
inferredcites →https://doi.org/10.1109/icac.2007.16openalex-snapshot
Exploiting Platform Heterogeneity for Power Efficient Data Centers
inferredcites →https://doi.org/10.1109/icdcsw.2013.68openalex-snapshot
Task Scheduling and Server Provisioning for Energy-Efficient Cloud-Computing Data Centers
inferredcites →https://doi.org/10.1109/lcomm.2013.022213.122757openalex-snapshot
Distributed Flow Scheduling in Energy-Aware Data Center Networks
inferredcites →https://doi.org/10.1109/mc.2007.443openalex-snapshot
The Case for Energy-Proportional Computing
inferredcites →https://doi.org/10.1109/pccc.2014.7017088openalex-snapshot
Joint power optimization through VM placement and flow scheduling in data centers
inferredcites →https://doi.org/10.1109/tcc.2013.4openalex-snapshot
Stratus: Load Balancing the Cloud for Carbon Emissions Control
inferredcites →https://doi.org/10.1109/tcc.2015.2424892openalex-snapshot
Performance and Energy Efficiency Metrics for Communication Systems of Cloud Computing Data Centers
inferredcites →https://doi.org/10.1109/tnet.2013.2280764openalex-snapshot
Revisiting the Design of Mega Data Centers: Considering Heterogeneity Among Containers
inferredcites →https://doi.org/10.1109/tpds.2010.208openalex-snapshot
Energy Conscious Scheduling for Distributed Computing Systems under Different Operating Conditions
inferredcites →https://doi.org/10.1109/tpds.2013.278openalex-snapshot
Energy and Network Aware Workload Management for Sustainable Data Centers with Thermal Storage
inferredcites →https://doi.org/10.1109/tpds.2013.76openalex-snapshot
ADAPT-POLICY: Task Assignment in Server Farms when the Service Time Distributionof Tasks is Not Known A Priori
inferredcites →https://doi.org/10.1109/ucc.2013.50openalex-snapshot
Communication-Aware and Energy-Efficient Scheduling for Parallel Applications in Virtualized Data Centers
inferredcites →https://doi.org/10.1145/1250662.1250665openalex-snapshot
Power provisioning for a warehouse-sized computer
inferredcites →https://doi.org/10.2307/3001968openalex-snapshot
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What points at this work

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

inferred← citeshttps://doi.org/10.1002/ett.4829openalex-snapshot
Energy‐efficient load balancing for divisible tasks on heterogeneous clusters
inferred← citeshttps://doi.org/10.1007/978-3-030-15032-7_87openalex-snapshot
MVMM: Data Center Scheduler Algorithm for Virtual Machine Migration
inferred← citeshttps://doi.org/10.1007/978-3-030-43222-5_12openalex-snapshot
Improving Energy Consumption in Iterative Problems Using Machine Learning
inferred← citeshttps://doi.org/10.1007/978-3-030-89899-1_5openalex-snapshot
The Comparative Study of Algorithms in Building the Green Mobile Cloud Computing Environment
inferred← citeshttps://doi.org/10.1007/978-3-030-89912-7_18openalex-snapshot
An Analytical Review of Load Balancing in Heterogeneous Networks
inferred← citeshttps://doi.org/10.1007/978-3-032-37831-6_12openalex-snapshot
PROPEL: Proactive Energy-Efficient Task Offloading at the Edge via Online Reinforcement Learning
inferred← citeshttps://doi.org/10.1007/978-3-319-78054-2_12openalex-snapshot
Energy Efficient Dynamic Load Balancing over MultiGPU Heterogeneous Systems
inferred← citeshttps://doi.org/10.1007/s10586-021-03431-zopenalex-snapshot
Energy efficiency in cloud computing data center: a survey on hardware technologies
inferred← citeshttps://doi.org/10.1007/s10951-020-00649-4openalex-snapshot
An approach to reduce energy consumption and performance losses on heterogeneous servers using power capping
inferred← citeshttps://doi.org/10.1007/s11227-018-2718-6openalex-snapshot
A heuristic technique to improve energy efficiency with dynamic load balancing
inferred← citeshttps://doi.org/10.1007/s11227-025-07974-5openalex-snapshot
A Bayesian neural network study for virtual machine migration within cloud environment
inferred← citeshttps://doi.org/10.1007/s11277-020-07448-2openalex-snapshot
Energy Efficient Resource Scheduling Using Optimization Based Neural Network in Mobile Cloud Computing
inferred← citeshttps://doi.org/10.1016/j.comnet.2016.06.037openalex-snapshot
Building a cloud on earth: A study of cloud computing data center simulators
inferred← citeshttps://doi.org/10.1016/j.future.2017.11.001openalex-snapshot
Towards Green Big Data at CERN
inferred← citeshttps://doi.org/10.1016/j.simpat.2017.11.008openalex-snapshot
GreenSched: An intelligent energy aware scheduling for deadline-and-budget constrained cloud tasks
inferred← citeshttps://doi.org/10.1016/j.vehcom.2017.02.004openalex-snapshot
An evergreen cloud: Optimizing energy efficiency in heterogeneous cloud computing architectures
inferred← citeshttps://doi.org/10.1109/ccnc51644.2023.10060079openalex-snapshot
Machine Learning based Thermal Prediction for Energy-efficient Cloud Computing
inferred← citeshttps://doi.org/10.1109/ccwc47524.2020.9031113openalex-snapshot
Energy Consumption Analysis of Scheduling Algorithms for Cloud Computing Systems
inferred← citeshttps://doi.org/10.1109/cloud.2015.23openalex-snapshot
Performance Metrics for Data Center Communication Systems
inferred← citeshttps://doi.org/10.1109/cloudnet.2017.8071532openalex-snapshot
Dynamic server provisioning with queue stabilization in data centres
inferred← citeshttps://doi.org/10.1109/cloudnet53349.2021.9657128openalex-snapshot
Understanding and Leveraging Cluster Heterogeneity for Efficient Execution of Cloud Services
inferred← citeshttps://doi.org/10.1109/comst.2018.2816042openalex-snapshot
Load Balancing in Data Center Networks: A Survey
inferred← citeshttps://doi.org/10.1109/ent.2016.015openalex-snapshot
Energy-Aware Scheduling with Computing and Data Consolidation Balance in 3-Tier Data Center
inferred← citeshttps://doi.org/10.1109/ent.2016.13openalex-snapshot
Energy-Aware Scheduling with Computing and Data Consolidation Balance in 3-Tier Data Center
inferred← citeshttps://doi.org/10.1109/icc.2016.7510998openalex-snapshot
Power comparison of cloud data center architectures
inferred← citeshttps://doi.org/10.1109/iccsp.2018.8524242openalex-snapshot
Comparative Analysis of Scheduling Algorithms in Cloud Environment
inferred← citeshttps://doi.org/10.1109/iccta45985.2018.9499146openalex-snapshot
Evaluation of virtual machine scheduling algorithms within Cloud environment
inferred← citeshttps://doi.org/10.1109/icimia.2017.7975624openalex-snapshot
Energy analysis of task scheduling algorithms in green cloud
inferred← citeshttps://doi.org/10.1109/itherm.2019.8757270openalex-snapshot
A Design Methodology for Controlling Local Airflow Delivery in Data Centers Using Air Dampers
inferred← citeshttps://doi.org/10.1109/sose58276.2023.00024openalex-snapshot
Intelligent Sampling: A Novel Approach to Optimize Workload Scheduling in Large-Scale Heterogeneous Computing Continuum
inferred← citeshttps://doi.org/10.1109/tpds.2016.2542817openalex-snapshot
Minimum Dependencies Energy-Efficient Scheduling in Data Centers
inferred← citeshttps://doi.org/10.1109/tsusc.2020.2999717openalex-snapshot
Energy-Efficient Stable and Balanced Task Scheduling in Data Centers
inferred← citeshttps://doi.org/10.1109/tsusc.2024.3456429openalex-snapshot
Workload Pattern Learning-Based Cloud Resource Management Models: Concepts and Meta-Analysis
inferred← citeshttps://doi.org/10.1145/3344341.3368822openalex-snapshot
J-OPT: A Joint Host and Network Optimization Algorithm for Energy-Efficient Workflow Scheduling in Cloud Data Centers
inferred← citeshttps://doi.org/10.1145/3769102.3770617openalex-snapshot
fReeLoaders: An IoT Ecosystem for Real-Time Deadline-Driven Task Scheduling using Reinforcement Learning
inferred← citeshttps://doi.org/10.21203/rs.3.rs-2744147/v1openalex-snapshot
Modeling and statistical study of a DBN for Cloud and Cloudlet environment within IoT technologies
inferred← citeshttps://doi.org/10.21203/rs.3.rs-2744147/v2openalex-snapshot
Modeling and statistical study of a DBN for Cloud and Cloudlet environment within IoT technologies
inferred← citeshttps://doi.org/10.21203/rs.3.rs-2744147/v3openalex-snapshot
Modeling and statistical study of a DBN for Cloud and Cloudlet environment within IoT technologies
inferred← citeshttps://doi.org/10.36227/techrxiv.170473729.96561302/v1openalex-snapshot
A Comprehensive Survey on Sustainable Resource Management in Cloud Computing Environments
inferred← citeshttps://doi.org/10.51466/jeeit1941-2029lopenalex-snapshot
ENERGY EFFICIENT AND OPTIMAL ALLOCATION OF RESOURCES IN CLOUD COMPUTING NETWORKS
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