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A Novel Multi-objective Optimization Scheme for Rebalancing Virtual Machine Placement

https://doi.org/10.1109/cloud.2016.0099

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What this work says

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

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CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms

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Analytical and numerical comparisons of biogeography-based optimization and genetic algorithms

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Developing an optimized application hosting framework in Clouds

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A multi-objective ant colony system algorithm for virtual machine placement in cloud computing

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Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach

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A Stable Network-Aware VM Placement for Cloud Systems

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A Multi-objective Biogeography-Based Optimization for Virtual Machine Placement

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On Theory of VM Placement: Anomalies in Existing Methodologies and Their Mitigation Using a Novel Vector Based Approach

inferredcites →https://doi.org/10.1109/cloud.2011.69openalex-snapshot

Live Migration of Multiple Virtual Machines with Resource Reservation in Cloud Computing Environments

inferredcites →https://doi.org/10.1109/greencom-cpscom.2010.137openalex-snapshot

Multi-Objective Virtual Machine Placement in Virtualized Data Center Environments

inferredcites →https://doi.org/10.1109/grid.2012.27openalex-snapshot

VC-Migration: Live Migration of Virtual Clusters in the Cloud

inferredcites →https://doi.org/10.1109/infcomw.2014.6849163openalex-snapshot

Multiple virtual machine live migration in federated cloud systems

inferredcites →https://doi.org/10.1109/infocom.2015.7218415openalex-snapshot

Virtual machine migration planning in software-defined networks

inferredcites →https://doi.org/10.1109/iwqos.2013.6550268openalex-snapshot

Predictive VM consolidation on multiple resources: Beyond load balancing

inferredcites →https://doi.org/10.1109/mascots.2010.13openalex-snapshot

Predicting the Performance of Virtual Machine Migration

inferredcites →https://doi.org/10.1109/tnsm.2011.050311.100040openalex-snapshot

Improving Application Placement for Cluster-Based Web Applications

inferredcites →https://doi.org/10.1109/tpds.2012.283openalex-snapshot

Dynamic Resource Allocation Using Virtual Machines for Cloud Computing Environment

inferredcites →https://doi.org/10.1109/uksim.2012.11openalex-snapshot

Load Balancing of Nodes in Cloud Using Ant Colony Optimization

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A scalable application placement controller for enterprise data centers

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A scalable, commodity data center network architecture

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Towards a comprehensive performance model of virtual machine live migration

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Complex System Optimization Using Biogeography-Based Optimization

inferredcites →https://doi.org/10.1155/2013/492615openalex-snapshot

A Location Selection Policy of Live Virtual Machine Migration for Power Saving and Load Balancing

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Live migration of virtual machines

What points at this work

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

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Which is the best algorithm for virtual machine placement optimization?

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A Smart Mathematical Approach to Resource Management in Cloud Based on Multi-objective Optimization and Deep Learning

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Two Are Better Than One: An Algorithm Portfolio Approach to Cloud Resource Management

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Virtual Machine Placement Based on Metaheuristic for IoT Cloud

inferred← citeshttps://doi.org/10.1007/978-981-15-0138-8_2openalex-snapshot

A Survey of Resource Management in Cloud and Edge Computing

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Energy-Efficient Algorithms Used in Datacenters: A Survey

inferred← citeshttps://doi.org/10.1007/s10732-018-9400-2openalex-snapshot

Virtual machine consolidation using constraint-based multi-objective optimization

inferred← citeshttps://doi.org/10.1007/s12083-020-00917-2openalex-snapshot

Distributed bandwidth selection approach for cooperative peer to peer multi-cloud platform

inferred← citeshttps://doi.org/10.1016/j.future.2017.06.015openalex-snapshot

VM reassignment in hybrid clouds for large decentralised companies: A multi-objective challenge

inferred← citeshttps://doi.org/10.1016/j.future.2018.04.075openalex-snapshot

Adaptive selection of dynamic VM consolidation algorithm using neural network for cloud resource management

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A Game Based Consolidation Method of Virtual Machines in Cloud Data Centers With Energy and Load Constraints

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Guaranteeing Service Level Agreements for Triangle Counting via Observation-based Admission Control Algorithm

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Resource Allocation In Cloud-Fog Systems Using Genetic Algorithm

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Availability-Aware Multi-Objective Virtual Cluster Allocation Optimization in Energy-Efficient Datacenters

inferred← citeshttps://doi.org/10.1109/hpcc/smartcity/dss.2019.00261openalex-snapshot

A Performance-Guaranteed Virtual Machine Migration Strategy in Cloud

inferred← citeshttps://doi.org/10.1109/jsac.2019.2895473openalex-snapshot

Communication-Aware Container Placement and Reassignment in Large-Scale Internet Data Centers

inferred← citeshttps://doi.org/10.1109/nsyss.2018.8631376openalex-snapshot

Exploiting a Synergy between Greedy Approach and NSGA for Scheduling in Computing Clusters

inferred← citeshttps://doi.org/10.1109/pccc.2017.8280491openalex-snapshot

Many-objective performance enhancement in computing clusters

inferred← citeshttps://doi.org/10.1109/tnsm.2020.2975580openalex-snapshot

Availability-Aware and Energy-Efficient Virtual Cluster Allocation Based on Multi-Objective Optimization in Cloud Datacenters

inferred← citeshttps://doi.org/10.1109/tsc.2019.2962128openalex-snapshot

Towards Service Composition Aware Virtual Machine Migration Approach in the Cloud

inferred← citeshttps://doi.org/10.1109/w-ficloud.2018.00043openalex-snapshot

Energy-Efficient Algorithm for Load Balancing and VMs Reassignment in Data Centers

inferred← citeshttps://doi.org/10.1186/s13638-020-01722-4openalex-snapshot

Adaptive management and multi-objective optimization of virtual machine in cloud computing based on particle swarm optimization

inferred← citeshttps://doi.org/10.23919/ccc58697.2023.10240954openalex-snapshot

Generating Heuristic Policies from Optimization in Large Scale Cloud Computing VM scheduling

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Load Balancing Based on Optimization Algorithms: An Overview

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Load balancing in virtualized environments using virtual machine migration: A comprehensive survey

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