Mathematical Programming Approach for Revenue Maximization in Cloud Federations

Hadji, Makhlouf; Zeghlache, Djamal

doi:10.1109/tcc.2015.2402674

Cited by 34 publications

(32 citation statements)

References 14 publications

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“…Toosi et al [6] designed a cost model which sets dynamically the cost of federated VMs according to the amount of idle resources of the CSPs, as well as a revenue model to maximize the CSP profit. In [17] a cost model, including insourcing and outsourcing costs of virtual resources was proposed. In [25], [26], the cost model consists in local, insourcing, outsourcing and network traffic costs.…”

Section: B Interconnected Cloud Cost Modelsmentioning

confidence: 99%

“…The second category is related to the cost estimation in the case of interconnected Clouds. These cost models dealt with different operations such as: initial placement of VMs [6], [17], [25], storage cost and geo-migration [21], [18], [32]. However, none of these studies took into account hybrid storage systems and I/O related cost, see Table Ib.…”

Section: Introductionmentioning

confidence: 99%

“…Interconnected cloud cost models Fixed storage Traffic Geo-migration Heterogeneity Federation [17] x x [18], [19], [20] x x [21] x x x x [22], [23], [24] x [6] x x [25], [26], [24] x x x (b)…”

Section: Introductionmentioning

confidence: 99%

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A Cost Model for Hybrid Storage Systems in a Cloud Federations

Chikhaoui

Boukhalfa

Boukhobza

2018

Annals of Computer Science and Information Systems

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A cloud federation gives to cloud service providers (CSP) the opportunity to collaborate in order to offer a better QoS to customers at a lower cost. To do so, CSPs make some spare resources available to others at a reduced cost. One of the most critical resources is the storage system as it represents the main system bottleneck. From this point of view, how to efficiently place data in a federation of Clouds with heterogeneous storage systems is a real challenge. To address this issue, one needs to accurately estimate the data placement cost. In this paper, we propose a cost model for hybrid storage systems in a cloud federation for a Database as a Service (DBaaS) application. It takes into account the storage system characteristics, customers I/O workloads and SLA. The proposed cost model considers both 1) Internal customers data placement cost including local placement, outsourcing, back-migration and penalty costs, and 2) External customers data placement cost including insourcing and geo-migration costs. It can be used to help in the decision-making process which aims to enhance customers QoS and reduce CSPs costs in a federation. Simulation results showed the relevance of the considered costs. We have shown that mis-considering some sub-costs may lead to a 95% cost error for external customers data placement and 80% for outsourcing customers. This may cause significant financial loss.

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Section: B Interconnected Cloud Cost Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Cost Model for Hybrid Storage Systems in a Cloud Federations

Chikhaoui

Boukhalfa

Boukhobza

2018

Annals of Computer Science and Information Systems

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“…However, many of these efforts assume the existence of the cloud federation and largely focus on designing sharing policies in order to maximize the profit of individual SCs [12], [13], [20], [21]. For example, [13] proposes a strategy to terminate less profitable spot instances, in order to accommodate more profitable on-demand VM requests.…”

Section: Introductionmentioning

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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“…Further, studies have also been carried out on analyzing the techno-economical aspects of CSPs in a cloud federation. Hadji et al [51] carried out a cost analysis of the CSPs in a cloud federation. The work focuses to opt for a light federation where providers are not forced to engage in a complex and compelling federation level agreement.…”

Section: Techniques To Estimate the Net Profit In Cloudsmentioning

confidence: 99%

A User Relinquishment-based Resource Assignment Scheme to Maximize the Net Profit of Cloud Service Providers

Singh¹

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In a cloud federation, by using the pay-as-you-go billing model users can relinquish their services at any point in time and pay accordingly. Therefore, this thesis aims to study the resource assignment problem in the situation where the user relinquishment impacts the net profit of a cloud service provider. As a solution, our study 1) proposes a tool to calculate the net profit which includes income, electricity expenses, and relinquishment loss; 2) compares different ways to predict the user behavior and deduce a better prediction technique based on linear regression; and 3) proposes a relinquishment-aware resource optimization model to estimate the amount of resources based upon the predicted user behavior. Simulations were performed with the CloudSim framework. The results show that instead of blindly assigning resources to users, a cloud service provider with a finite resource pool can gain more by estimating the resources using better prediction techniques.ii

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Mathematical Programming Approach for Revenue Maximization in Cloud Federations

Cited by 34 publications

References 14 publications

A Cost Model for Hybrid Storage Systems in a Cloud Federations

A Cost Model for Hybrid Storage Systems in a Cloud Federations

Performance Driven Resource Sharing Markets for the Small Cloud

A User Relinquishment-based Resource Assignment Scheme to Maximize the Net Profit of Cloud Service Providers

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