On the public citation graph

VM Placement Algorithms for Hierarchical Cloud Infrastructure

https://doi.org/10.1109/cloudcom.2014.53
0 signed · 21 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.

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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.1867openalex-snapshot
Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in Cloud data centers
inferredcites →https://doi.org/10.1002/spe.995openalex-snapshot
CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms
inferredcites →https://doi.org/10.1007/978-3-540-89856-6_13openalex-snapshot
pMapper: Power and Migration Cost Aware Application Placement in Virtualized Systems
inferredcites →https://doi.org/10.1007/978-3-642-40047-6_33openalex-snapshot
Energy and Carbon-Efficient Placement of Virtual Machines in Distributed Cloud Data Centers
inferredcites →https://doi.org/10.1109/apscc.2009.5394134openalex-snapshot
Optimal virtual machine placement across multiple cloud providers
inferredcites →https://doi.org/10.1109/cloud.2010.66openalex-snapshot
Dynamic Resource Allocation in Computing Clouds Using Distributed Multiple Criteria Decision Analysis
inferredcites →https://doi.org/10.1109/inm.2007.374776openalex-snapshot
Dynamic Placement of Virtual Machines for Managing SLA Violations
inferredcites →https://doi.org/10.1145/2371536.2371562openalex-snapshot
Dynamic energy-aware capacity provisioning for cloud computing environments
inferredcites →https://doi.org/10.1287/mnsc.31.6.647openalex-snapshot
Note—A Preference Ranking Organisation Method
inferredcites →https://doi.org/10.4304/jcp.7.1.42-52openalex-snapshot
A New Resource Scheduling Strategy Based on Genetic Algorithm in Cloud Computing Environment

What points at this work

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

inferred← citeshttps://doi.org/10.1007/s11227-020-03393-wopenalex-snapshot
A comparative analysis of prominently used MCDM methods in cloud environment
inferred← citeshttps://doi.org/10.1007/s11227-021-04081-zopenalex-snapshot
Optimal virtual machine scheduling in virtualized cloud environment using VIKOR method
inferred← citeshttps://doi.org/10.1007/s11227-026-08250-wopenalex-snapshot
Analytical performance evaluation of multi-resource MCDM-based virtual machine scheduling in cloud data center
inferred← citeshttps://doi.org/10.1007/s42979-024-02982-3openalex-snapshot
EMaC: Dynamic VM Consolidation Framework for Energy-Efficiency and Multi-metric SLA Compliance in Cloud Data Centers
inferred← citeshttps://doi.org/10.1016/j.csi.2017.01.001openalex-snapshot
Optimal virtualized network function allocation for an SDN enabled cloud
inferred← citeshttps://doi.org/10.1109/access.2021.3075973openalex-snapshot
DECA: A Dynamic Energy Cost and Carbon Emission-Efficient Application Placement Method for Edge Clouds
inferred← citeshttps://doi.org/10.1109/scc.2016.43openalex-snapshot
CACEV: A Cost and Carbon Emission-Efficient Virtual Machine Placement Method for Green Distributed Clouds
inferred← citeshttps://doi.org/10.1145/3297280.3297295openalex-snapshot
Oversubscribing micro-clouds with energy-aware containers scheduling
inferred← citeshttps://doi.org/10.1145/3450517openalex-snapshot
A Survey on the Use of Preferences for Virtual Machine Placement in Cloud Data Centers
inferred← citeshttps://doi.org/10.4018/978-1-5225-0759-8.ch017openalex-snapshot
A Survey and Taxonomy of Energy Efficient Resource Management Techniques in Platform as a Service Cloud
inferred← citeshttps://doi.org/10.70675/7265fea3zf838z4d0az8facz28983336d782openalex-snapshot
Allocation des ressources dans le cloud et les réseaux de diffusion de contenu
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