Dynamic Resource Pricing on Federated Clouds

Mihailescu, Marian; Teo, Yong Meng

doi:10.1109/ccgrid.2010.123

Cited by 150 publications

(79 citation statements)

References 10 publications

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“…A strategy-proof dynamic scheme for resource allocation on federated clouds is proposed by [2]. The authors concluded that the dynamic pricing scheme is more suitable for federated clouds.…”

Section: Related Workmentioning

confidence: 99%

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Dynamic Pricing Scheme for Resource Allocation in Multi-Cloud Environment

Shaari

Ang

Por

et al. 2017

MJCS

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Cloud computing has taken the IT and business world by storm through its cost savings and quick-and-easy adoption. Currently, fixed price model is dominating the pricing schemes in the cloud market. However, this model is unable to reflect the current market needs for cost savings as the number of cloud provider and user increases. As a result, a dynamic pricing scheme has emerged as an attractive strategy to better cope with the unpredictable cloud demand. This paper proposed a dynamic pricing scheme that provides fairness among the service providers in a multi-cloud environment. The scheme adjusts the price accordingly to encourage the low utilized resources' usage and discourage over utilized resources' usage. The evaluation results showed that the proposed scheme is able to reduce the cost of the end user when running compute-intensive and data-intensive jobs in the multi-cloud environment.

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Section: Related Workmentioning

confidence: 99%

“…In contrast, the dynamic pricing scheme is better than the fixed pricing scheme in terms of unpredictable demand [2,[8][9][10][11][12]. A strategy-proof dynamic scheme for resource allocation on federated clouds is proposed by [2].…”

Section: Related Workmentioning

confidence: 99%

Dynamic Pricing Scheme for Resource Allocation in Multi-Cloud Environment

Shaari

Ang

Por

et al. 2017

MJCS

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“…However, this type of pricing is not efficient as it does not adapt to the changes in demand and supply [15]. For example, when demand becomes lower than supply, providers can decrease the price to incentivize consumers to use more resources.…”

Section: Introductionmentioning

confidence: 99%

“…In our previous work [15], we have shown that fixed pricing does not achieve good economic efficiency in a system with multiple providers, or where users are both providers and consumers of resources, because it cannot adapt to the changes in demand and supply. Accordingly, we have proposed a strategy-proof dynamic pricing scheme, where payments for both consumers and providers contain incentives for them to be truthful.…”

Section: Evaluation Modelmentioning

confidence: 99%

The Impact of User Rationality in Federated Clouds

Mihailescu

Teo

2012

2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (Ccgrid 2012)

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With cloud computing, the long-envisioned dream of computing as utility is achieved. Many of the current standalone cloud providers offer resources and services using pay-per-use fixed pricing. Spot pricing, recently introduced in Amazon EC2, is more efficient by setting the resource price dynamically, based on demand. However, this pricing scheme, similar to the uniform price auction, is truthful only when supply can be adjusted, such as the case of a standalone cloud provider. In a federated cloud, where resources from multiple cloud providers are integrated to increase elasticity and reliability, rational users can have a greater impact. In this paper, we evaluate the impact of rationality in a federated cloud, by comparing the consumer welfare achieved by spot pricing, currently used in Amazon EC2, and a strategy-proof pricing scheme. We consider different EC2 regions as providers in a federated cloud, and use traces of spot prices to determine the consumer requests and the user welfare. Our results show that spot pricing is not suitable in a federated cloud, where rational users can increase their welfare by being untruthful.

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“…However, this is a fixed model and not suitable on supply/demand changes. Dynamic resource pricing on federated clouds was introduced in [10], by which the price could be determined depending on the level of supply and demand. However, this model does not support a good scalability during high demand period.…”

Section: Related Workmentioning

confidence: 99%

Pricing Models for Cloud Computing Services, a Survey

Ali¹,

Ammar²

2016

IJCATR

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Abstract:Recently, citizens and companies can access utility computing services by using Cloud Computing. These services such as infrastructures, platforms and applications could be accessed on-demand whenever it is needed. In Cloud Computing, different types of resources would be required to provide services, but the demands such as requests rates and user's requirements of these services and the cost of the required resources are continuously varying. Therefore, Service Level Agreements would be needed to guarantee the service's prices and the offered Quality of Services which are always dependable and interrelated to guarantee revenues maximization for cloud providers as well as improve customers' satisfaction level. Cloud consumers are always searching for a cloud provider who provides good service with the least price, so Cloud provider should use advanced technologies and frameworks to increase QoS, and decrease cost. This paper provides a survey on cloud pricing models and analyzes the recent and relevant research in this field.

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Dynamic Resource Pricing on Federated Clouds

Cited by 150 publications

References 10 publications

Dynamic Pricing Scheme for Resource Allocation in Multi-Cloud Environment

Dynamic Pricing Scheme for Resource Allocation in Multi-Cloud Environment

The Impact of User Rationality in Federated Clouds

Pricing Models for Cloud Computing Services, a Survey

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