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Hierarchical VM Management Architecture for Cloud Data Centers

https://doi.org/10.1109/cloudcom.2014.136

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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/10.1016/j.comnet.2009.04.014openalex-snapshot

Sandpiper: Black-box and gray-box resource management for virtual machines

inferredcites →https://doi.org/10.1109/ccgrid.2009.93openalex-snapshot

The Eucalyptus Open-Source Cloud-Computing System

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.2013.79openalex-snapshot

Hierarchical Virtual Machine Consolidation in a Cloud Computing System

inferredcites →https://doi.org/10.1109/cloud.2014.24openalex-snapshot

Energy-Aware Dynamic VM Consolidation in Cloud Data Centers Using Ant Colony System

inferredcites →https://doi.org/10.1109/icdcs.2010.88openalex-snapshot

Mistral: Dynamically Managing Power, Performance, and Adaptation Cost in Cloud Infrastructures

inferredcites →https://doi.org/10.1109/pdp.2014.109openalex-snapshot

Energy-Efficient Virtual Machines Consolidation in Cloud Data Centers Using Reinforcement Learning

inferredcites →https://doi.org/10.1109/seaa.2013.23openalex-snapshot

LiRCUP: Linear Regression Based CPU Usage Prediction Algorithm for Live Migration of Virtual Machines in Data Centers

inferredcites →https://doi.org/10.1109/seaa.2014.56openalex-snapshot

Multi-agent Based Architecture for Dynamic VM Consolidation in Cloud Data Centers

inferredcites →https://doi.org/10.1109/surv.2012.090512.00043openalex-snapshot

Data Center Network Virtualization: A Survey

inferredcites →https://doi.org/10.1109/tcad.2012.2212898openalex-snapshot

Energy-Efficient Datacenters

inferredcites →https://doi.org/10.1109/ucc.2013.51openalex-snapshot

Energy Aware Consolidation Algorithm Based on K-Nearest Neighbor Regression for Cloud Data Centers

inferredcites →https://doi.org/10.1145/1113361.1113374openalex-snapshot

CoMon

inferredcites →https://doi.org/10.1145/1165389.945462openalex-snapshot

Xen and the art of virtualization

inferredcites →https://doi.org/10.1145/945461.945462openalex-snapshot

Xen and the art of virtualization

inferredcites →https://doi.org/10.4103/0256-4602.81230openalex-snapshot

Sercon: Server Consolidation Algorithm using Live Migration of Virtual Machines for Green Computing

inferredcites →https://doi.org/10.5555/1251203.1251223openalex-snapshot

Live migration of virtual machines

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-319-31854-7_49openalex-snapshot

Multi-resource Allocation for Virtual Machine Placement in Video Surveillance Cloud

inferred← citeshttps://doi.org/10.1007/978-981-16-2126-0_13openalex-snapshot

A Survey on Cloud Resources Allocation Using Multi-agent System

inferred← citeshttps://doi.org/10.1016/j.suscom.2019.01.004openalex-snapshot

Topology-aware multi-objective virtual machine dynamic consolidation for cloud datacenter

inferred← citeshttps://doi.org/10.1109/ccaa.2017.8230012openalex-snapshot

Green cloud computing: A review on efficiency of data centres and virtualization of servers

inferred← citeshttps://doi.org/10.1109/cloud.2016.0079openalex-snapshot

Self-Adaptive Resource Management System in IaaS Clouds

inferred← citeshttps://doi.org/10.1109/cset58993.2023.10346687openalex-snapshot

Optimizing Cloud-Based Smart Agriculture

inferred← citeshttps://doi.org/10.1109/dsdis.2015.58openalex-snapshot

Energy-Aware Massively Distributed Cloud Facilities: The DISCOVERY Initiative

inferred← citeshttps://doi.org/10.1109/ic2e.2017.35openalex-snapshot

Revising OpenStack to Operate Fog/Edge Computing Infrastructures

inferred← citeshttps://doi.org/10.1109/icac3n53548.2021.9725556openalex-snapshot

A Review on Green Computing Implementation Using Efficient Techniques

inferred← citeshttps://doi.org/10.1109/iceca55336.2022.10009629openalex-snapshot

Green Cloud Computing- Next Step Towards Eco-friendly Work Stations

inferred← citeshttps://doi.org/10.1109/icoin.2017.7899498openalex-snapshot

SLA-driven Ordered Variable-width Windowing for service-chain deployment in SDN datacenters

inferred← citeshttps://doi.org/10.1109/incacct57535.2023.10141845openalex-snapshot

Green Cloud Computing: Goals, Techniques, Architectures, and Research Challenges

inferred← citeshttps://doi.org/10.1109/iwqos.2018.8624167openalex-snapshot

Improving Quality of Experience of Service-Chain Deployment for Multiple Users

inferred← citeshttps://doi.org/10.1109/nfv-sdn47374.2019.9040155openalex-snapshot

Parcel-Fit: Low Network-Overhead Service-Chain Deployment for Better Datacenter Performance

inferred← citeshttps://doi.org/10.1109/tcc.2017.2760836openalex-snapshot

Hierarchical Stochastic Models for Performance, Availability, and Power Consumption Analysis of IaaS Clouds

inferred← citeshttps://doi.org/10.51976/jfsa.522202openalex-snapshot

Green Cloud Computing: A Futuristic Approach

inferred← citeshttps://doi.org/10.5937/telfor1702110mopenalex-snapshot

Distributed resource allocation in cloud computing using multi-agent systems

inferred← citeshttps://doi.org/10.6025/jdim/2019/17/4/201-213openalex-snapshot

A New Design for Smart and Decentralized Approach for Resource Allocation in Cloud Computing using CSP Model

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