On the public citation graph

Energy Management in IaaS Clouds: A Holistic Approach

0 signed · 58 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.future.2011.04.017openalex-snapshot
Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing
inferredcites →https://doi.org/10.1016/j.future.2011.12.002openalex-snapshot
Energy-efficient and multifaceted resource management for profit-driven virtualized data centers
inferredcites →https://doi.org/10.1088/1748-9326/3/3/034008openalex-snapshot
Worldwide electricity used in data centers
inferredcites →https://doi.org/10.1109/ccgrid.2012.71openalex-snapshot
Snooze: A Scalable and Autonomic Virtual Machine Management Framework for Private Clouds
inferredcites →https://doi.org/10.1109/cloud.2011.26openalex-snapshot
Energy-Efficient Management of Virtual Machines in Eucalyptus
inferredcites →https://doi.org/10.1109/grid.2011.13openalex-snapshot
Energy-Aware Ant Colony Based Workload Placement in Clouds
inferredcites →https://doi.org/10.1145/1165389.945462openalex-snapshot
Xen and the art of virtualization
inferredcites →https://doi.org/10.1145/1508293.1508300openalex-snapshot
Entropy
inferredcites →https://doi.org/10.1177/1094342006070078openalex-snapshot
Grid'5000: A Large Scale And Highly Reconfigurable Experimental Grid Testbed
inferredcites →https://doi.org/10.4103/0256-4602.81230openalex-snapshot
Sercon: Server Consolidation Algorithm using Live Migration of Virtual Machines for Green Computing

What points at this work

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

inferred← citeshttps://doi.org/10.1002/9781118711897.ch19openalex-snapshot
Strategies for Increased Energy Awareness in Cloud Federations
inferred← citeshttps://doi.org/10.1002/cpe.3314openalex-snapshot
OpenStack Neat: a framework for dynamic and energy‐efficient consolidation of virtual machines in OpenStack clouds
inferred← citeshttps://doi.org/10.1007/978-3-030-66840-2_82openalex-snapshot
Recent Trends in Green Computing
inferred← citeshttps://doi.org/10.1007/978-3-319-14636-2_8openalex-snapshot
Energy Aware Load Prediction for Cloud Data Centers
inferred← citeshttps://doi.org/10.1007/978-3-642-40517-4_10openalex-snapshot
Snooze: An Autonomic and Energy-Efficient Management System for Private Clouds
inferred← citeshttps://doi.org/10.1007/978-981-10-6523-1_3openalex-snapshot
Energy Management
inferred← citeshttps://doi.org/10.1007/978-981-15-1718-1_29openalex-snapshot
Hyperheuristic Framework with Evolutionary and Deterministic Algorithms for Virtual Machine Placement Problem
inferred← citeshttps://doi.org/10.1007/s00607-023-01193-7openalex-snapshot
A distributed and energy-efficient KNN for EEG classification with dynamic money-saving policy in heterogeneous clusters
inferred← citeshttps://doi.org/10.1007/s10723-015-9336-9openalex-snapshot
A Pliant-based Virtual Machine Scheduling Solution to Improve the Energy Efficiency of IaaS Clouds
inferred← citeshttps://doi.org/10.1007/s10723-018-9440-8openalex-snapshot
A Cost Model for IaaS Clouds Based on Virtual Machine Energy Consumption
inferred← citeshttps://doi.org/10.1007/s11227-021-03978-zopenalex-snapshot
An ACO-based multi-objective optimization for cooperating VM placement in cloud data center
inferred← citeshttps://doi.org/10.1016/j.comnet.2014.04.011openalex-snapshot
Energy-aware joint management of networks and Cloud infrastructures
inferred← citeshttps://doi.org/10.1016/j.comnet.2015.11.026openalex-snapshot
A joint CPU-RAM energy efficient and SLA-compliant approach for cloud data centers
inferred← citeshttps://doi.org/10.1016/j.entcs.2018.09.002openalex-snapshot
A Holistic Resource Management for Graphics Processing Units in Cloud Computing
inferred← citeshttps://doi.org/10.1016/j.future.2015.11.027openalex-snapshot
Software consolidation as an efficient energy and cost saving solution
inferred← citeshttps://doi.org/10.1016/j.future.2017.09.066openalex-snapshot
MEnSuS: An efficient scheme for energy management with sustainability of cloud data centers in edge–cloud environment
inferred← citeshttps://doi.org/10.1016/j.jksuci.2018.07.001openalex-snapshot
A survey study on virtual machine migration and server consolidation techniques in DVFS-enabled cloud datacenter: Taxonomy and challenges
inferred← citeshttps://doi.org/10.1016/j.jpdc.2017.08.010openalex-snapshot
Approaches for optimizing virtual machine placement and migration in cloud environments: A survey
inferred← citeshttps://doi.org/10.1016/j.jss.2019.05.025openalex-snapshot
Holistic resource management for sustainable and reliable cloud computing: An innovative solution to global challenge
inferred← citeshttps://doi.org/10.1016/j.simpat.2015.05.009openalex-snapshot
DISSECT-CF: A simulator to foster energy-aware scheduling in infrastructure clouds
inferred← citeshttps://doi.org/10.1109/ccgrid.2013.44openalex-snapshot
An Autonomic and Scalable Management System for Private Clouds
inferred← citeshttps://doi.org/10.1109/cloud.2015.36openalex-snapshot
aDock: A Cloud Infrastructure Experimentation Environment Based on Open Stack and Docker
inferred← citeshttps://doi.org/10.1109/cloudcom.2016.0102openalex-snapshot
Dynamic Routing and Virtual Machine Consolidation in Green Clouds
inferred← citeshttps://doi.org/10.1109/comst.2015.2481183openalex-snapshot
Data Center Energy Consumption Modeling: A Survey
inferred← citeshttps://doi.org/10.1109/cscloud-edgecom49738.2020.00037openalex-snapshot
Energy Consumption for IoT Streaming Applications
inferred← citeshttps://doi.org/10.1109/dchpc60845.2024.10454081openalex-snapshot
An Adaptive Task Scheduling Approach for Cloud Computing Using Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/e3s.2013.6705859openalex-snapshot
Power-efficient server utilization in compute clouds
inferred← citeshttps://doi.org/10.1109/ipdpsw.2017.97openalex-snapshot
Consumer-and-Provider-Oriented Efficient IaaS Resource Allocation
inferred← citeshttps://doi.org/10.1109/scc.2013.63openalex-snapshot
Modeling, Analysis and Optimization of Dependability-Aware Energy Efficiency in Services Computing Systems
inferred← citeshttps://doi.org/10.1109/sysose.2013.6575260openalex-snapshot
Optimal update frequency model for physical machine state change and virtual machine placement in the cloud
inferred← citeshttps://doi.org/10.1109/tcc.2015.2474369openalex-snapshot
Hierarchical SLA-Driven Resource Management for Peak Power-Aware and Energy-Efficient Operation of a Cloud Datacenter
inferred← citeshttps://doi.org/10.1109/tdsc.2013.4openalex-snapshot
A Hierarchical Approach for the Resource Management of Very Large Cloud Platforms
inferred← citeshttps://doi.org/10.1109/ucc63386.2024.00028openalex-snapshot
A Unified Approach to Virtual Machine Placement and Migration in the Cloud using Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/wac.2014.6936129openalex-snapshot
Optimal calculation overhead for energy efficient cloud workload prediction
inferred← citeshttps://doi.org/10.1145/2554850.2555044openalex-snapshot
Generic cloud platform multi-objective optimization leveraging models@run.time
inferred← citeshttps://doi.org/10.12913/22998624/62746openalex-snapshot
RESOURCE SCHEDULING IN CLOUD ENVIRONMET: A SURVEY
inferred← citeshttps://doi.org/10.1504/ijcnds.2018.10014504openalex-snapshot
K-mMA VM selection in dynamic VM consolidation for improving energy efficiency at cloud data centre
inferred← citeshttps://doi.org/10.21817/ijet/2017/v9i2/170902032openalex-snapshot
Energy-Aware Scheduling Framework for resource allocation in a virtualized cloud data centre
inferred← citeshttps://doi.org/10.2316/p.2014.811-015openalex-snapshot
Power-Efficient Load Distribution in Heterogeneous Computing Environments
inferred← citeshttps://doi.org/10.2991/csss-14.2014.12openalex-snapshot
An Allocation Method for Resource of IaaS Platform with Energy-saving Consideration in the Data Center
inferred← citeshttps://doi.org/10.32657/10220/46660openalex-snapshot
Adaptive resource optimization of three-tier web applications running on the cloud
inferred← citeshttps://doi.org/10.35940/ijrte.d5346.118419openalex-snapshot
Research on Energy-Efficient Resource Provisioning System for Cloud Datacenters
inferred← citeshttps://doi.org/10.4018/978-1-5225-0759-8.ch007openalex-snapshot
Virtual Machine Placement in IaaS Cloud
inferred← citeshttps://doi.org/10.4018/ijgc.2014010103openalex-snapshot
Minimum Power Performance-Based Virtual Machine Consolidation Technique for Green Cloud Datacenters
inferred← citeshttps://doi.org/10.5220/0004842905190526openalex-snapshot
Energy-aware VM Scheduling in IaaS Clouds using Pliant Logic
inferred← citeshttps://doi.org/10.70675/716f84fazde9dz487azb475z54b0a563571aopenalex-snapshot
Design de l'expérience utilisateur dans les machines virtuelles : l'approche de l'allocation de ressources prédictive pour les infrastructures cloud
inferred← citeshttps://doi.org/10.70675/c52709acz6684z429az83a9zbd244867dae4openalex-snapshot
Efficient allocation for distributed and connected Cloud
inferred← citeshttps://doi.org/10.70675/d6481f36z3de1z49daz86e9zcd1702ef7546openalex-snapshot
Optimizing PaaS provider profit under service level agreement constraints
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.