Virtual Machine Provisioning for Cloud Scenarios

Nhapi, Lincolin; Yadav, Arun Kumar; Rao, Ram Shringar

doi:10.1145/2905055.2905174

Cited by 3 publications

(3 citation statements)

References 11 publications

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“…There are several proposals regarding correlation when placing and migrating VMs. Some of them have shown correlation between different computing resources such as CPU and RAM [3,4,6,8,[19][20][21][22][23][24].…”

Section: Problem Formulationmentioning

confidence: 99%

“…Regarding the VMPM problem, the selected strategy has to ensure that resources required for all VMs be placed into a given PM/cluster do not exceed the PM/cluster capacity, as defined in (6). Exceeding it causes oversubscription, which usually should be avoided to meet SLA.…”

Section: Problem Formulationmentioning

confidence: 99%

“…Despite the apparently infinite cloud computing resources, they have to be properly managed to ensure that the demand and supply relation is met. Considering the scale of cloud infrastructure and the NP-hardness of VMPM, several works are limited to providing a comprehensive and scalable solution for these concerns such as those surveyed in our previous work [1] and many other [2][3][4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Distributed Virtual-Machine Placement and Migration Approach Based on Modern Portfolio Theory

Filho¹,

Monteiro²,

Inácio

et al. 2022

SSRN Journal

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Section: Problem Formulationmentioning

confidence: 99%

Section: Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Distributed Virtual-Machine Placement and Migration Approach Based on Modern Portfolio Theory

Filho¹,

Monteiro²,

Inácio

et al. 2022

SSRN Journal

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Approaches for optimizing virtual machine placement and migration in cloud environments: A survey

Filho

Monteiro

Inácio

et al. 2018

Journal of Parallel and Distributed Computing

101

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A Distributed Virtual-Machine Placement and Migration Approach Based on Modern Portfolio Theory

Filho

Monteiro

Inácio

et al. 2023

Preprint

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Virtual machine placement and migration (VMPM) are key operations for managing cloud resources. Considering the large scale of cloud infrastructures, several proposals still fail to provide a comprehensive and scalable solution. A variety of approaches have been used to address this issue, e.g., the modern portfolio theory (MPT). Originally formulated for financial markets, MPT enables the construction of a portfolio of financial assets in order to maximize profit and reduce risk. This paper presents a novel VMPM approach applying MPT and incremental statistics computation for VMPM decision-making so as to maximize resource usage while minimizing under and overload. Simulation experiments were conducted using CloudSim Plus, relying on synthetic data, PlanetLab and Google Cluster traces. Results show that the proposal is highly scalable and largely reduces computational complexity and memory footprint, making it suitable for large-scale cloud service providers.

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Virtual Machine Provisioning for Cloud Scenarios

Cited by 3 publications

References 11 publications

A Distributed Virtual-Machine Placement and Migration Approach Based on Modern Portfolio Theory

A Distributed Virtual-Machine Placement and Migration Approach Based on Modern Portfolio Theory

Approaches for optimizing virtual machine placement and migration in cloud environments: A survey

A Distributed Virtual-Machine Placement and Migration Approach Based on Modern Portfolio Theory

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