Mihailescu M, Teo YM (2010) Dynamic resource pricing on federated clouds. Int J Grid Distributed Comput 6(5):93–106 IARIA XPS Press, Venice, Citeseer, pp 113–121Īl-Roomi M, Al-Ebrahim S, Buqrais S, Ahmad I (2013) Cloud computing pricing models: a survey. In: 5th International conference on advances in system simulation (SIMUL-2013). IT Prof 11(2):23–27Ĭlamp P, Cartlidge J (2013) Pricing the cloud: an adaptive brokerage for cloud computing. Grossman RL (2009) The case for cloud computing. Rogers O, Cliff D (2012) A financial brokerage model for cloud computing. Petri I, Diaz-Montes J, Zou M, Beach T, Rana O, Parashar M (2015) Market models for federated clouds. In: 2010 IEEE 3rd international conference on cloud computing (CLOUD), 2010. Grivas SG, Kumar TU, Wache H (2010) Cloud broker: bringing intelligence into the cloud. Sharma B, Thulasiram RK, Thulasiraman P, Buyya R (2015) Clabacus: a risk-adjusted cloud resources pricing model using financial option theory. In: CLOSER 2015, 5th international conference on cloud computing and services science, Lisbon, Portugal, 20– Mitropoulou P, Filiopoulou E, Tsaroucha S, Michalakelis C, Nikolaidou M (2015) A hedonic price index for cloud computing services. MSc in High Performance, Computing University of Edinburgh:81 IEEE, pp 1563–1572Īndra RS (2013) Investigating pricing and negotiation models for cloud computing. In: 45th Hawaii international conference onsystem science (HICSS), 2012. Martens B, Walterbusch M, Teuteberg F (2012) Costing of cloud computing services: a total cost of ownership approach. Siham EK, Schlereth C, Skiera B (2012) Price comparison for infrastructure-as-a-service. In: 12th International conference on intelligent systems design and applications (ISDA). Vinu Prasad G, Rao S, Prasad AS (2012) A combinatorial auction mechanism for multiple resource procurement in cloud computing. Hurwitz J, Kaufman M, Halper DF (2012) Cloud services for dummies. NIST special publication 800(145):7Īnderson E, Eschinger C, Wurster L, de Silva F, Contu R, Liu V, Biscotti F, Petri G, Zhang J, Yeates M (2013) Forecast overview: public cloud services, worldwide, 2011–2016, 4Q12 Update, Market analysis and statistics. Mell P, Grance T (2011) The NIST definition of cloud computing. Comparing the results leads to important conclusions related to pricing policies of IaaS cloud services.Įtro F (2009) The economic impact of cloud computing on business creation, employment and output in Europe. The aim of this study is to provide price indices both on a continent level and globally, in an effort to investigate differences in pricing policies in different marketplaces. Into that context, this paper summarizes the findings of an initial work on the construction of a price index based on a hedonic pricing method, taking into account different factors of IaaS cloud computing services, including two of the most important players in the cloud market, Google and Microsoft Azure. However, the choice of the cheapest cloud hosting provider depends exclusively on the clients’ needs and this is why prices for cloud services are a result of a multidimensional function shaped by the service’s characteristics. Currently, the battle for a dominant market share grows the competition among cloud providers and leads to the development of new pricing schemes, in order to meet the market demand. In particular, the public cloud approach receives more attention and the Infrastructure as a Service (IaaS) model is expected to be the fastest growing model of public cloud computing, as it is considered to be a very good solution for companies needing the control of fundamental computing resources, such as memory, computing power and storage capacity. Cloud computing, as an innovative business model, has experienced rapid diffusion across the international business world, offering many benefits to both the demand and the supply side of the ICT market.
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