Toward maximization of profit and quality of cloud federation: solution to cloud federation formation problem

Ray, Benay Kumar; Saha, Avirup; Khatua, Sunirmal; Roy, Sarbani

doi:10.1007/s11227-018-2620-2

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2019

2024

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Cited by 15 publications

(1 citation statement)

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“…It has not been discussed how to handle the high workload situation. Ray et al [29] proposed an integer linear programme to maximise the profit and QoS of the federated cloud. This model optimised the QoS and profit of the provider.…”

Section: Related Workmentioning

confidence: 99%

Optimising infrastructure as a service provider revenue through customer satisfaction and efficient resource provisioning in cloud computing

et al. 2019

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Section: Related Workmentioning

confidence: 99%

Optimising infrastructure as a service provider revenue through customer satisfaction and efficient resource provisioning in cloud computing

et al. 2019

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Revenue maximization approaches in IaaS clouds: Research challenges and opportunities

Badshah

Ghani

Daud

et al. 2022

Trans Emerging Tel Tech

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This study critically reviews the IaaS clouds development on revenue maximization since 2012 to answer these research queries; (i) What are the main influential factors towards revenue maximization in the cloud market? (ii) What are the main challenges and resistance towards revenue maximization in cloud computing? and (iii) What are the possible solutions and potentials to these hurdles in cloud computing? The data was analyzed and the influencing factors of revenue maximization were classified into seven distinct categories, that is, the performance of the services, service level agreement and penalties management, resources scalability, resources utilization and scheduling, customers' satisfaction, cost, and pricing management, as well as advertisement and auction. These parameters are investigated in detail and new dynamics for researchers in the field of the cloud are discovered. These studies are compared against each other for the seven distinct categories and solutions are proposed for the clouds' obstacles to revenue maximization. Furthermore, in the light of the findings and revenue maximization categories, the main limitations, challenges, true potential, and new directions towards revenue maximization are explored.

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Concept, Landscape, and Progress of the Global Open Science Cloud

Li,

Zhang,

Wen

2024

China’s E-Science Blue Book 2023

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Toward maximization of profit and quality of cloud federation: solution to cloud federation formation problem

Cited by 15 publications

References 32 publications

Optimising infrastructure as a service provider revenue through customer satisfaction and efficient resource provisioning in cloud computing

Optimising infrastructure as a service provider revenue through customer satisfaction and efficient resource provisioning in cloud computing

Revenue maximization approaches in IaaS clouds: Research challenges and opportunities

Concept, Landscape, and Progress of the Global Open Science Cloud

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