Cloud Pricing

Dierks, Ludwig; Seuken, Sven

doi:10.1145/3328526.3329590

Cited by 8 publications

(2 citation statements)

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“…The Cloud services are guaranteed to be accessed and consumed at anytime from anywhere for the users. Normally, the price is determined based on the numbers of CPU, availability of live storage, software license fee, backup and maintenance [2,3,10]. There are also additional charges that proposed by the Cloud service providers (CSPs) in offering the services.…”

Section: Related Workmentioning

confidence: 99%

“…We notice the fact that research on price competition amongst Cloud providers is not new in the economic domains. Market competition between Cloud providers is a vital factor in capacity planning because the providers set prices primarily to make profits [1,7,10]. Basically, the prices that they set had influenced on demands from end-users, where their demands led to the provisioning of optimal resource capacities.…”

Section: Related Workmentioning

confidence: 99%

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Generic Costing Scheme Using General Equilibrium Theory for Fair Cloud Service Charging

2021

KSII TIIS

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Cloud Service Providers (CSPs) enable their users to access Cloud computing and storage services from anywhere in quick and flexible manners through the Internet. With the basis of 'pay-as-you-go' model, it makes the interactions between CSPs and the users play a vital role in shaping the Cloud computing market. A pool of virtualized and dynamically scalable Cloud services that delivered on demand to the users is associated with guaranteed performance and cost-provisioning. It needed a costing scheme for determining suitable charges in order to secure lease pricing of the Cloud services. However, it is hard to meet the satisfied prices for both CSPs and users due to their conflicting needs. Furthermore, there is lack of Service Level Agreements (SLAs) that allowing the users to take part into price negotiating process. The users may lose their interest to use Cloud services while reducing CSPs profit. Therefore, this paper proposes a generic costing scheme for Cloud services using General Equilibrium Theory (GET). GET helps to formulate the price function for various services' factors to match with various demands from the users. It is initially determined by identifying the market circumstances that a general equilibrium will be hold and reached. Specifically, there are two procedures of agreement made in response to (i) established equilibrium supply and demand, and (ii) service price formed and constructed in a price range. The SLAs in our costing scheme is integrated to satisfy both CSPs and users' needs while minimizing their conflicts. The price ranging strategy is deliberated to provide prices' options to the users with respect their budget limit. Meanwhile, the CSPs can adaptively charge based on users' preferences without losing their profit. The costing scheme is testable and analyzed in multi-tenant computing environments. The results from our simulation experiments demonstrate that the proposed costing scheme provides better users' satisfaction while fostering fairness pricing in the Cloud market.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Generic Costing Scheme Using General Equilibrium Theory for Fair Cloud Service Charging

2021

KSII TIIS

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SPA: Harnessing Availability in the AWS Spot Market

Wong

Zavodovski

Corneo

et al. 2021

IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

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Amazon Web Services (AWS) offers transient virtual servers at a discounted price as a way to sell unused spare capacity in its data centers. Although transient servers are very appealing as some instances have up to 90% discount, they are not bound to regular availability guarantees as they are opportunistic resources sold on the spot market. In this paper, we present SPA, a framework that remarkably increases the spot instance reliability over time due to insights gained from the analysis of historical data, such as cross-region price variability and intervals between evictions. We implemented the SPA reliability strategy, evaluated them using over one year of historical pricing data from AWS, and found out that we can increase the transient instance lifetime by adding a pricing overhead of 3.5% in the spot price in the best scenario.

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Reservation and Checkpointing Strategies for Stochastic Jobs

Gainaru

Goglin

Honoré

et al. 2020

2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS)

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In this paper, we are interested in scheduling and checkpointing stochastic jobs on a reservation-based platform, whose cost depends both (i) on the reservation made, and (ii) on the actual execution time of the job. Stochastic jobs are jobs whose execution time cannot be determined easily. They arise from the heterogeneous, dynamic and data-intensive requirements of new emerging fields such as neuroscience. In this study, we assume that jobs can be interrupted at any time to take a checkpoint, and that job execution times follow a known probability distribution. Based on past experience, the user has to determine a sequence of fixed-length reservation requests, and to decide whether the state of the execution should be checkpointed at the end of each request. The objective is to minimize the expected cost of a successful execution of the jobs. We provide an optimal strategy for discrete probability distributions of job execution times, and we design fully polynomial-time approximation strategies for continuous distributions with bounded support. These strategies are then experimentally evaluated and compared to standard approaches such as periodic-length reservations and simple checkpointing strategies (either checkpoint all reservations, or none). The impact of an imprecise knowledge of checkpoint and restart costs is also assessed experimentally.

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Cloud Pricing

Cited by 8 publications

References 0 publications

Generic Costing Scheme Using General Equilibrium Theory for Fair Cloud Service Charging

Generic Costing Scheme Using General Equilibrium Theory for Fair Cloud Service Charging

SPA: Harnessing Availability in the AWS Spot Market

Reservation and Checkpointing Strategies for Stochastic Jobs

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