Economic models for cloud service markets: Pricing and Capacity planning

Pal, Ranjan; Pan, Hui

doi:10.1016/j.tcs.2012.11.001

Cited by 78 publications

(40 citation statements)

References 13 publications

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“…The most employed approaches include multicriteria decision analysis-based service selection [7,[12][13][14], reputation-aware service selection [15], adaptive learning mechanism-based service selection [8,16], economic theoretical model-based service selection [17,18], service level agreement-based service ranking [6], visualization framework for service selection [19], and trust evaluation middleware for cloud service selection [20]. Though these approaches can efficiently measure service quality, the implementation of some approaches is time-consuming and costly.…”

Section: Related Workmentioning

confidence: 99%

Context-Aware Cloud Service Selection Model for Mobile Cloud Computing Environments

2018

Wireless Communications and Mobile Computing

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Mobile cloud computing (MCC) has attracted extensive attention in recent years. With the prevalence of MCC, how to select trustworthy and high quality mobile cloud services becomes one of the most urgent problems. Therefore, this paper focuses on the trustworthy service selection and recommendation in mobile cloud computing environments. We propose a novel service selection and recommendation model (SSRM), where user similarity is calculated based on user context information and interest. In addition, the relational degree among services is calculated based on PropFlow algorithm and we utilize it to improve the accuracy of ranking results. SSRM supports a personalized and trusted selection of cloud services through taking into account mobile user's trust expectation. Simulation experiments are conducted on ns3 simulator to study the prediction performance of SSRM compared with other two traditional approaches. The experimental results show the effectiveness of SSRM.

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Section: Related Workmentioning

confidence: 99%

Context-Aware Cloud Service Selection Model for Mobile Cloud Computing Environments

2018

Wireless Communications and Mobile Computing

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“…Similarly, three Cloud network economic problems are analyzed in [51] and modeled as non-cooperative price and QoS games among multiple Cloud providers.…”

Section: Related Workmentioning

confidence: 99%

Generalized Nash Equilibria for the Service Provisioning Problem in Multi-Cloud Systems

Ardagna

Ciavotta

Passacantando

2017

IEEE Trans. Serv. Comput.

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Abstract-The adoption of Cloud technologies is steadily increasing. In such systems, applications can benefit from nearly infinite virtual resources on a pay-per-use basis. However, being the Cloud massively multi-tenant and characterized by highly variable workloads the development of more and more effective provisioning policies assumes paramount importance. Boosted by the success of the Cloud, the application of Game Theory models and methodologies has also become popular, since they have been demonstrated to suit perfectly to Cloud social, economic, and strategic structures. This paper aims to study, model and efficiently solve the cost minimization problem associated with the service provisioning of SaaS virtual machines in multiple IaaSs. We propose a game-theoretic approach for the runtime management of resources from multiple IaaS providers to be allocated to multiple competing SaaSs, along with a cost model including revenues and penalties for requests execution failures. A distributed algorithm for identifying Generalized Nash Equilibria has been developed and analysed in detail. The effectiveness of our approach has been assessed by performing a wide set of analyses under multiple workload conditions. Results show that our algorithm is scalable and provides significant cost savings with respect to alternative methods (80% on average). Furthermore, increasing the number of IaaS providers SaaSs can achieve 9-15% cost savings from the workload distribution on multiple IaaSs.

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“…Pal and Hui [5] have studied an economic model for fixing prices of resources. They used game theory and have presented some economic models.…”

Section: Related Workmentioning

confidence: 99%

Pricing Schemes in Cloud Computing: An Overview

Mazrekaj¹,

Shabani²,

Sejdiu³

2016

ijacsa

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Economic models for cloud service markets: Pricing and Capacity planning

Cited by 78 publications

References 13 publications

Context-Aware Cloud Service Selection Model for Mobile Cloud Computing Environments

Context-Aware Cloud Service Selection Model for Mobile Cloud Computing Environments

Generalized Nash Equilibria for the Service Provisioning Problem in Multi-Cloud Systems

Pricing Schemes in Cloud Computing: An Overview

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