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Quantifying the impact of shutdown techniques for energy‐efficient 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/10.1007/10968987_3openalex-snapshot
SLURM: Simple Linux Utility for Resource Management
inferredcites →https://doi.org/10.1007/978-3-319-04519-1_1openalex-snapshot
Adding Virtualization Capabilities to the Grid’5000 Testbed
inferredcites →https://doi.org/10.1007/978-3-319-07518-1_25openalex-snapshot
A Case Study of Energy Aware Scheduling on SuperMUC
inferredcites →https://doi.org/10.1007/978-3-319-49583-5_15openalex-snapshot
Impact of Shutdown Techniques for Energy-Efficient Cloud Data Centers
inferredcites →https://doi.org/10.1007/978-3-642-33645-4_1openalex-snapshot
Setting Energy Efficiency Goals in Data Centers: The GAMES Approach
inferredcites →https://doi.org/10.1007/s10586-012-0214-yopenalex-snapshot
Performance tradeoffs of energy-aware virtual machine consolidation
inferredcites →https://doi.org/10.1016/j.comnet.2009.08.011openalex-snapshot
Resource pool management: Reactive versus proactive or let’s be friends
inferredcites →https://doi.org/10.1016/j.peva.2010.08.009openalex-snapshot
Optimality analysis of energy-performance trade-off for server farm management
inferredcites →https://doi.org/10.1109/bdcloud.2014.99openalex-snapshot
Towards Generalizing "Big Little" for Energy Proportional HPC and Cloud Infrastructures
inferredcites →https://doi.org/10.1109/comst.2016.2545109openalex-snapshot
Towards Joint Optimization Over ICT and Cooling Systems in Data Centre: A Survey
inferredcites →https://doi.org/10.1109/csitechnol.2015.7358239openalex-snapshot
E-Biothon: An experimental platform for bioinformatics
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/icpads.2016.0158openalex-snapshot
RESS: A Reliable Energy-Efficient Storage System
inferredcites →https://doi.org/10.1109/tc.2016.2637353openalex-snapshot
Heterogeneity-Aware Collective I/O for Parallel I/O Systems with Hybrid HDD/SSD Servers
inferredcites →https://doi.org/10.1109/tnet.2012.2226216openalex-snapshot
Dynamic Right-Sizing for Power-Proportional Data Centers
inferredcites →https://doi.org/10.1142/s0129626411000138openalex-snapshot
ERIDIS: ENERGY-EFFICIENT RESERVATION INFRASTRUCTURE FOR LARGE-SCALE DISTRIBUTED SYSTEMS
inferredcites →https://doi.org/10.1142/s0129626415410066openalex-snapshot
“Big, Medium, Little”: Reaching Energy Proportionality with Heterogeneous Computing Scheduler
inferredcites →https://doi.org/10.1145/1248377.1248385openalex-snapshot
Scheduling to minimize gaps and power consumption
inferredcites →https://doi.org/10.1145/2228360.2228569openalex-snapshot
Big.LITTLE system architecture from ARM
inferredcites →https://doi.org/10.1145/2463209.2488951openalex-snapshot
Techniques for energy-efficient power budgeting in data centers
inferredcites →https://doi.org/10.1145/2532637openalex-snapshot
A survey on techniques for improving the energy efficiency of large-scale distributed systems
inferredcites →https://doi.org/10.1145/502034.502045openalex-snapshot
Managing energy and server resources in hosting centers
inferredcites →https://doi.org/10.1177/1094342017714530openalex-snapshot
Reducing the energy consumption of large-scale computing systems through combined shutdown policies with multiple constraints
inferredcites →https://doi.org/10.7282/t3-agfw-yt73openalex-snapshot
Load balancing and unbalancing for power and performance in cluster-based systems
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-981-33-6981-8_5openalex-snapshot
Energy-Efficient Algorithms Used in Datacenters: A Survey
inferred← citeshttps://doi.org/10.1007/s10586-022-03713-0openalex-snapshot
Energy efficiency in cloud computing data centers: a survey on software technologies
inferred← citeshttps://doi.org/10.1007/s42979-020-0078-9openalex-snapshot
A Survey on the Current Challenges of Energy-Efficient Cloud Resources Management
inferred← citeshttps://doi.org/10.1016/j.jss.2020.110522openalex-snapshot
MT-EA4Cloud: A Methodology For testing and optimising energy-aware cloud systems
inferred← citeshttps://doi.org/10.1016/j.suscom.2021.100590openalex-snapshot
Green power aware approaches for scheduling independent tasks on a multi-core machine
inferred← citeshttps://doi.org/10.1016/j.suscom.2021.100592openalex-snapshot
Scheduling computing loads for improved utilization of solar energy
inferred← citeshttps://doi.org/10.1109/access.2021.3063708openalex-snapshot
Parallel, Proactive and Power Efficient Virtual Network Embedding in a Green and Distributed SD-ODCN Architecture
inferred← citeshttps://doi.org/10.1109/cloudcom62794.2024.00030openalex-snapshot
S-ORCA: A Social-Based Consolidation Approach to Reduce Cloud Infrastructures Energy Consumption
inferred← citeshttps://doi.org/10.1109/hpcs48598.2019.9188058openalex-snapshot
Leveraging energy-efficient non-lossy compression for data-intensive applications
inferred← citeshttps://doi.org/10.1109/igsc55832.2022.9969362openalex-snapshot
Evaluation of Heuristics to Manage a Data Center Under Power Constraints
inferred← citeshttps://doi.org/10.1109/indiacom51348.2021.00052openalex-snapshot
Predictive Virtual Machine Placement for Energy Efficient Scalable Resource Provisioning in Modern Data Centers
inferred← citeshttps://doi.org/10.1109/sbac-pad55451.2022.00041openalex-snapshot
Analyzing Power Decisions in Data Center Powered by Renewable Sources
inferred← citeshttps://doi.org/10.1109/tase.2024.3395471openalex-snapshot
Linearized Data Center Workload and Cooling Management
inferred← citeshttps://doi.org/10.1145/3784828.3785163openalex-snapshot
Co-Design of a Power State-Aware Scheduler and an Intelligent Power Manager for Energy-Efficient HPC Systems
inferred← citeshttps://doi.org/10.1177/10943420231172978openalex-snapshot
Modeling, evaluating, and orchestrating heterogeneous environmental leverages for large-scale data center management
inferred← citeshttps://doi.org/10.1177/10943420251399694openalex-snapshot
Revisiting virtual machine consolidation to save resources and energy in heterogeneous production cloud infrastructures
inferred← citeshttps://doi.org/10.3233/jifs-220535openalex-snapshot
Energy efficient resource optimization algorithm for cloud infrastructure
inferred← citeshttps://doi.org/10.3390/electronics10182287openalex-snapshot
Energy-Efficient Virtual Network Function Reconfiguration Strategy Based on Short-Term Resources Requirement Prediction
inferred← citeshttps://doi.org/10.3917/pls.518.0048openalex-snapshot
Le vrai coût énergétique du numérique
inferred← citeshttps://doi.org/10.52416/eureka.2021.1.1.p01-312openalex-snapshot
Contemporary Issues in Social Sciences
inferred← citeshttps://doi.org/10.70675/584e6b42z6c8fz45d5zae63zd7f353250a4aopenalex-snapshot
Model-based reinforcement learning for dynamic resource allocation in cloud environments
inferred← citeshttps://doi.org/10.70675/dfb9d56azc58bz428dza1a5ze31689e67b56openalex-snapshot
Ordonnancement en ligne de tâches IT et engagement de sources dans un centre de calcul alimenté par des énergies renouvelables
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