A Novel Model for Competition and Cooperation among Cloud Providers

Truong-Huu, Tram; Tham, Chen-Khong

doi:10.1109/tcc.2014.2322355

Cited by 56 publications

(18 citation statements)

References 31 publications

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“…For instance, authors in [16], [20] characterize the cloud federation to help cloud providers maximize their profits via dynamic pricing models. Earlier efforts [15], [39] also study the competition and cooperation among cloud providers, but assume that each cloud provider has sufficient resources to serve all users' requests, while [15] incorporates a penalty function to address the service delay penalty. Authors in [40] propose a hierarchical cooperative game theoretic model for better resources integration and achieving a higher profit in the federation.…”

Section: Related Workmentioning

confidence: 99%

Performance Driven Resource Sharing Markets for the Small Cloud

Lin

Pal

Paolieri

et al. 2017

2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS)

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Small-scale clouds (SCs) often suffer from resource under-provisioning during peak demand, leading to inability to satisfy service level agreements (SLAs) and consequent loss of customers. One approach to address this problem is for a set of autonomous SCs to share resources among themselves in a costinduced cooperative fashion, thereby increasing their individual capacities (when needed) without having to significantly invest in more resources. A central problem (in this context) is how to properly share resources (for a price) to achieve profitable service while maintaining customer SLAs. To address this problem, in this paper, we propose the SC-Share framework that utilizes two interacting models: (i) a stochastic performance model that estimates the achieved performance characteristics under given SLA requirements, and (ii) a market-based game-theoretic model that (as shown empirically) converges to efficient resource sharing decisions at market equilibrium. Our results include extensive evaluations that illustrate the utility of the proposed framework.

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Section: Related Workmentioning

confidence: 99%

Performance Driven Resource Sharing Markets for the Small Cloud

Lin

Pal

Paolieri

et al. 2017

2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS)

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“…Truong-Huu et al propose a dynamic cloud resourcepricing model (Truong-Huu et al, 2014). They consider a competitive cloud market consisting of multiple providers and consumers.…”

Section: Game Theory Based Cloud Sla Modelmentioning

confidence: 99%

A Competitive Penalty Model for Availability Based Cloud Sla

Yuan¹,

Tang²,

Liu³

et al. 2016

STCC

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Availability is one of the most essential attributes of qualities of cloud services. Most popular public cloud services claim availability commitments with corresponding penalties in their SLAs. To gain the maximal profits, cloud providers should choose an optimal penalty strategy in the competitive cloud market. In this paper, we firstly survey availability and penalty calculation methods of cloud providers. Based on the survey, we propose a competitive penalty model and a corresponding penalty based profit maximization algorithm for cloud providers. According to the model, each cloud provider would choose the best fit penalty strategy to gain the maximal expected profit during the game procedure. The proposed model is evaluated with real data of popular cloud providers with sensitive analysis, and is valuable for cloud providers to define their penalty strategy.

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“…Tram et al propose a dynamic cloud resource pricing model [7]. They consider a competitive cloud market consisting of multiple providers and consumers.…”

Section: B Cloud Sla Model Based On Game Theorymentioning

confidence: 99%

A Competitive Penalty Model for Availability Based Cloud SLA

Yuan

Tang

Liu

et al. 2015

2015 IEEE 8th International Conference on Cloud Computing

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Availability is one of the most essential attributes of qualities of cloud services. Most popular public cloud services claim availability commitments with corresponding penalties in their SLAs. To gain the maximal profits, cloud providers should choose an optimal penalty strategy in the competitive cloud market. In this paper, we firstly survey the penalty calculation methods of cloud providers. Based on the survey, we propose a competitive penalty model and a corresponding penalty based profit maximization algorithm for cloud providers. According to the model, each cloud provider would choose the best fit penalty strategy to gain the maximal expected profit during the game procedure. The proposed model is evaluated with real data of popular cloud providers with sensitive analysis, and is valuable for cloud providers to define their penalty strategy.

show abstract

A Novel Model for Competition and Cooperation among Cloud Providers

Cited by 56 publications

References 31 publications

Performance Driven Resource Sharing Markets for the Small Cloud

Performance Driven Resource Sharing Markets for the Small Cloud

A Competitive Penalty Model for Availability Based Cloud Sla

A Competitive Penalty Model for Availability Based Cloud SLA

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