Cost Minimization for Provisioning Virtual Servers in Amazon Elastic Compute Cloud

Chaisiri, Sivadon; Kaewpuang, Rakpong; Lee, Bu-Sung; Niyato, Dusit

doi:10.1109/mascots.2011.30

Cited by 67 publications

(48 citation statements)

References 13 publications

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“…It is assumed that all individual elements of the intra-DC network are powered by a common RES. So far, SLP has been used for solving the Virtual Infrastructure planning problem over converged compute and optical network resources [10], [43]- [46], the Virtual Network embedding (VNE) problem ( [44]) and the problem of optimal pricing for compute resources [47]- [48] without considering RES. RES have been also used in [13] and [14] to address the problems of service migration in cloud computing systems and DC placement, respectively, using ILP models whereas in [35] the authors studied the VNE problem and developed a set of MILP and heuristic models to optimize the use of wavelengths in the network in addition to consolidating the use of resources in DCs, achieving power savings of the order of 60%.…”

Section: Related Workmentioning

confidence: 99%

Stochastic Energy Efficient Cloud Service Provisioning Deploying Renewable Energy Sources

Αναστασόπουλος

Tzanakaki

Simeonidou

2016

IEEE J. Select. Areas Commun.

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Section: Related Workmentioning

confidence: 99%

Stochastic Energy Efficient Cloud Service Provisioning Deploying Renewable Energy Sources

Αναστασόπουλος

Tzanakaki

Simeonidou

2016

IEEE J. Select. Areas Commun.

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“…Their approach seeks to maximize the profit of the SaaS provider by minimizing the number of SLA violations and the cost by reusing VMs. Other related works [9], [11], [12], [13] and [14] also focused on cost-optimization strategies for resource provisioning. This paper is also focused on cost optimization and also consider workloads that are dynamic in nature.…”

Section: Related Workmentioning

confidence: 99%

Fault-Tolerant Resource Provisioning with Deadline-Driven Optimization in Hybrid Clouds

Ahene¹,

Acheampong²,

Xu³

2016

ijacsa

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Abstract-Resource provisioning remains as one of the challenging research problems in cloud computing, more importantly when considered together with service reliability. Fault-tolerance techniques such as fault-recovery is one of the techniques that can be employed to improve on service reliability. Technically, fault-recovery has obvious impact on service performance. Such impact requires detailed studies. Only few works on hybrid cloud resource provisioning address fault recovery and its impact. In this paper, we investigate the problem of resource provisioning in hybrid Clouds, considering the probability of hybrid cloud resource failure during job execution. We formulate this problem as an optimization model with operational cost as an objective function subject to the deadline constraint of jobs. Based on our proposed optimization model, we design a heuristic-based algorithm called dynamic resource provisioning algorithm (DRPA). We then perform extensive experiments to evaluate performance of the proposed algorithm based on a real world set of data. The results confirm the obvious impact of fault recovery on the performance metrics (operational cost and deadline violation rate) and also confirms that DRPA can be useful in minimizing operational cost.

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“…It also means having experts to handle these systems on site. Amazon Elastic Compute Cloud(EC2) provides a cloud computing service by renting out computational resources to customers [15]. Customers can connect to the Internet and have access to virtual servers using their web browsers.…”

Section: B Cloud Computing Solutions That Would Be Applicable To Maumentioning

confidence: 99%

Cloud Computing as an Alternative for on-Premise Software for Mauritian Hotels

Ramkhelawan¹,

Cadersaib²,

Gobin³

2015

LNSE

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Abstract-The hospitality industry is a flourishing backbone of the Mauritian economy and one of its pillars is the technological arm. Hospitality IT needs to adapt quickly to address and meet new challenges, increase operational flexibility and enhance overall guest experience while optimising costs on all fronts. The purpose of this study is to give a detailed analysis of the current IT infrastructure of hotels in Mauritius and to identify the major issues and challenges faced by the organisations in its management. The analysis has been carried out on premise and different stakeholders such as the functional managers, the IT support officers and end users have been interviewed for their appreciation of the actual IT infrastructure. Based on the issues and challenges faced by the different departments in their daily work routine, Cloud computing has been proposed as a viable solution to counter the challenges faced by the organizations in the management of their IT infrastructure. In this paper, the cost impact for one hotel for moving to the cloud SaaS model has been analysed. This work will extend on future works where the cost factor for different hotel categories and cloud models will be analysed.

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Cost Minimization for Provisioning Virtual Servers in Amazon Elastic Compute Cloud

Cited by 67 publications

References 13 publications

Stochastic Energy Efficient Cloud Service Provisioning Deploying Renewable Energy Sources

Stochastic Energy Efficient Cloud Service Provisioning Deploying Renewable Energy Sources

Fault-Tolerant Resource Provisioning with Deadline-Driven Optimization in Hybrid Clouds

Cloud Computing as an Alternative for on-Premise Software for Mauritian Hotels

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