On Economic and Computational-Efficient Resource Pricing in Large Distributed Systems

Mihailescu, Marian; Teo, Yong Meng

doi:10.1109/ccgrid.2010.124

Cited by 35 publications

(16 citation statements)

References 13 publications

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“…Users will be able to predict resource price based on the task size, priority and QoS requirement, as well as satisfy budget and deadline constraint, which is similar to study performed by Mihailescu and Teo (2010). However, the study paid fewer attentions to the strategy of providers where the attention was given more into the user's perspective.…”

Section: Related Worksupporting

confidence: 49%

Multi-Level Priority-Based Scheduling Model in Heterogeneous Cloud

Jalal¹,

Hussin²

2014

Journal of Computer Science

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Cloud has emerged into another enhancement that manipulates the diversity of resources in order to expand the ability of Cloud facility. Cloud is no longer being seen as one-type service provider. The advantages of the heterogeneous Cloud give great benefits to the users and have business potential in service market. To cope with the dynamic nature of heterogeneous Cloud, the Cloud provider needs to have strategies to efficiently allocate tasks to the resources. Also, to charge the services is another challenge to the Cloud provider as the resources in the Cloud system are heterogeneous. In this study, we suggest the implementation of a. Multi-level priority-based scheduling and dynamic pricing into the heterogeneous Cloud model. We perform an extensive performance evaluation on the model through simulations. We define the attribute of the Cloud simulation as dynamic and random to address the heterogeneous feature of the Cloud. Our simulation result shows that the multi-level priority-based is significantly increasing the resource utilization rate and its integration with the dynamic pricing successfully improves the performance of the Cloud service in term of satisfaction rate.

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Section: Related Worksupporting

confidence: 49%

Multi-Level Priority-Based Scheduling Model in Heterogeneous Cloud

Jalal¹,

Hussin²

2014

Journal of Computer Science

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“…Among other theoretical works on pricing, [16]- [18] are significant. Auction-based pricing schemes were proposed by Teng et al [16] and Mihailescu et al [17]. Xu et al [18] proposed a method based on revenue management framework, in order to maximize the revenues of the CSPs, with the presence of stochastic demand and perishable resources.…”

Section: Related Workmentioning

confidence: 99%

Cost-Effective Mapping between Wireless Body Area Networks and Cloud Service Providers Based on Multi-Stage Bargaining

Moulik

Misra

Gaurav

2017

IEEE Trans. on Mobile Comput.

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This paper presents a bargaining-based resource allocation and price agreement in an environment of cloudassisted Wireless Body Area Networks (WBANs). The challenge is to finalize a price agreement between the Cloud Service Providers (CSPs) and the WBANs, followed by a cost-effective mapping among them. Existing solutions primarily focus on profits of the CSPs, while guaranteeing different user satisfaction levels. Such pricing schemes are bias prone, as quantifying user satisfaction is fuzzy in nature and hard to implement. Moreover, such traditional approach may lead to an unregulated market, where few service providers enjoy the monopoly/oligopoly situation. However, in this work, we try to remove such biasness from the pricing agreements, and envision this challenge from a comparatively fair point of view. In order to do so, we use the concept of bargaining, an interesting approach involving cooperative game theory. We introduce an exposition -multistage Nash bargaining solution (MUST-NBS), that unfolds into multiple stages of bargaining, as the name suggests, until we conclude price agreement between the CSPs and the WBANs. In addition, the proposed approach also consummates the final mapping between the CSPs and the WBANs, depending on the cost-effectiveness of the WBANs. Analysis of the proposed algorithms and the inferences of the results validates the usefulness of the proposed mapping technique.

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“…To find the optimal price for a caching service in the cloud, Kantere et al [7] modeled the correlation between user demand and the price, and proposed a dynamic pricing scheme to maximize the cloud provider's profit. Teng and Magoules [8] and Mihailescu and Teo [9] studied optimal pricing with an auction mechanism, in which users had budgetary and deadline constraints. Our previous work [10] considered an exchange-based market for VMs, and proposed a solution based on Nash bargaining games.…”

Section: Related Workmentioning

confidence: 99%

Price Competition in an Oligopoly Market with Multiple IaaS Cloud Providers

Feng

2014

IEEE Trans. Comput.

121

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Oligopoly can be defined as a market model of the imperfect competition type, assuming the existence of only a few companies in a sector or industry, from which at least some have a significant market share and can therefore influence the production prices in the market. Many models of oligopoly that differ from one another mostly in the nature of the competitive companies' behaviour can be found through the study of oligopolistic structures. Some models describe only the behaviour of two companies in the monitored market (duopoly), others describe several companies of the same power (cartel), still others assume that one of the companies has a dominant position in the market, etc. The text of this article deals with oligopolistic competition in the food market in the terms of the behaviour of grocers and with the impact of this competition upon the market competition in the sector. First, it mentions the agreements on common cooperation and procedure, when cartel market structure originates. It also analyzes the examples of behaviour of oligopoly with a dominant firm on the market with products in the food sector, with the goal of detecting whether the market with these products is significantly influenced by the oligopolistic behaviour of companies.

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On Economic and Computational-Efficient Resource Pricing in Large Distributed Systems

Cited by 35 publications

References 13 publications

Multi-Level Priority-Based Scheduling Model in Heterogeneous Cloud

Multi-Level Priority-Based Scheduling Model in Heterogeneous Cloud

Cost-Effective Mapping between Wireless Body Area Networks and Cloud Service Providers Based on Multi-Stage Bargaining

Price Competition in an Oligopoly Market with Multiple IaaS Cloud Providers

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