Congestion based resource sharing in multi-service networks

Jukić, Boris; Simon, Robert; Chang, Woan Sun

doi:10.1016/s0167-9236(03)00046-0

Cited by 9 publications

(6 citation statements)

References 22 publications

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“…Rouskas et al (2008), Guan et al (2008), and Fulp and Reeves (2004) considered profitmaximizing problem under different QoS. Jukic et al (2004) considered two types of network services: network service with bandwidth and delay guarantee and best-effort network service without quality guarantee. Wei et al (2010) adopted a game-theoretic method to schedule cloud computing services with QoS.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal contract design for cloud computing service with resource service guarantee

Kuo

Huang

Yang

2017

Journal of the Operational Research Society

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The optimal contract design for cloud computing service with resource guarantee under the consideration of resource redundancy and network externality is studied in this research. A model in which a service provider determines joint pricing and resource allocation decisions is constructed by proposing two types of contracts with different service-level agreements (SLAs). The SLA of each contract describes the price and associated penalty if the provider cannot provide the resource requested by the customers. Optimal pricing and resource allocation decisions as well as the equilibrium contracts of the service provider are analyzed based on the dynamics of the model characteristics. We found that optimal contract design is sensitive to both service levels and customers' beliefs of compensation ratio when the requested resource is unfulfilled. Furthermore, service providers should evaluate the trade-off between benefit of price discrimination and effect of network externality when determining the optimal contract design.

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Section: Literature Reviewmentioning

confidence: 99%

Optimal contract design for cloud computing service with resource service guarantee

Kuo

Huang

Yang

2017

Journal of the Operational Research Society

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“…The main concern addressed in this line of research is guaranteeing a promised level of quality through bandwidth allocation, buffer management and scheduling. The other group in the literature includes supply side strategic issues such as pricing and QoS [45][46][47][48][49].…”

Section: Modeling Qosmentioning

confidence: 99%

A bandwidth sourcing and task allocation model in telecommunications under stochastic QoS guarantees

Turan

Kasap

Savran

2014

Applied Soft Computing

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“…The pricing of M i QoS traffic that results in the optimal allocation of the capacity of link j , p j,M i , proposed in Jukic, Simon, and Chang [3] is as follows:…”

Section: Price-based Admission Control Blocking Probabilitymentioning

confidence: 99%

“…We previously proposed a congestion-based pricing scheme where the prices are set to maximize overall user value [3]. Overall user value is calculated as a function of admitted QoS traffic, the value of best-effort traffic, and the delay cost suffered by best-effort traffic.…”

Section: Introductionmentioning

confidence: 99%

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An Analysis of a Unified Pricing Model for Multiservice Networks

Chang

Simon

2006

SIMULATION

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There has been recent interest in employing unified pricing schemes for supporting both quality-of-service (QoS) and best-effort traffic within multiservice networks. This article presents an analytical approach for the design and analysis of this class of network pricing control. In particular, the authors propose an approximation method to estimate overall user value arising from all traffic types, given the routes for QoS traffic. Their approach considers admission control as both a resource allocation issue and a pricing control decision for QoS traffic in a combined QoS and best-effort environment. The authors show how to convert the price-based admission control decision to a resource-based blocking problem. The experimental results showed that the proposed analytical model is quite accurate as compared to simulation results. The authors also present the numerical results of performance analysis for multiservice networks using their proposed approximation method. Their approach can be used to predict the performance and parameter settings for a wide range of combined QoS and best-effort pricing schemes.

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Congestion based resource sharing in multi-service networks

Cited by 9 publications

References 22 publications

Optimal contract design for cloud computing service with resource service guarantee

Optimal contract design for cloud computing service with resource service guarantee

A bandwidth sourcing and task allocation model in telecommunications under stochastic QoS guarantees

An Analysis of a Unified Pricing Model for Multiservice Networks

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