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標題: Titlebook: Economic Models for Managing Cloud Services; Sajib Mistry,Athman Bouguettaya,Hai Dong Book 2018 Springer International Publishing AG 2018 [打印本頁]

作者: 乳缽    時間: 2025-3-21 16:51
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作者: installment    時間: 2025-3-21 20:30
Book 2018re the Temporal Conditional Preference Network (TempCP-Net) as the qualitative economic model to represent the high-level IaaS business strategies. The temporal qualitative preferences are indexed in a multidimensional k-d tree to efficiently compute the preference ranking at runtime. A three-dimens
作者: Adjourn    時間: 2025-3-22 01:10
del to represent the high-level IaaS business strategies. The temporal qualitative preferences are indexed in a multidimensional k-d tree to efficiently compute the preference ranking at runtime. A three-dimens978-3-319-89260-3978-3-319-73876-5
作者: 下邊深陷    時間: 2025-3-22 06:40

作者: FLOUR    時間: 2025-3-22 09:12

作者: Morose    時間: 2025-3-22 14:20

作者: Morose    時間: 2025-3-22 18:28
Android Invaders: The Grand Finale,s into account user preferences such as total costs, journey times and modes of transportation. A user may specify that he/she is flexible on tour dates but wishes to travel on business class or on a flight with a lower price.
作者: 幸福愉悅感    時間: 2025-3-22 23:40
Beginning Android Games Developmentet indicates that most providers are making profits while maintaining service level agreements. Conversely, a lower performance index of a provider may suggest the provider should find some alternative solutions to become competitive and profitable in the market.
作者: 案發(fā)地點    時間: 2025-3-23 04:36

作者: Antigen    時間: 2025-3-23 06:17
Book 2018ts. The economic models fit almost intuitively in the way business is usually done and maximize the profit of a cloud provider for a long-term period...The authors propose a new multivariate Hidden Markov and Autoregressive Integrated Moving Average (HMM-ARIMA) model to predict various patterns of r
作者: 六個才偏離    時間: 2025-3-23 11:48

作者: thalamus    時間: 2025-3-23 16:27

作者: 貝雷帽    時間: 2025-3-23 20:14
Introduction,igher and cheaper network bandwidth and commoditization of data storage and computational resources provide significant economies of scale. Large companies such as Amazon, Google, Microsoft, and IBM are providing cloud solutions to consumers [21].
作者: 大包裹    時間: 2025-3-24 01:16
Long-Term IaaS Composition for Stochastic Requests,e ability of an application to automatically adjust the infrastructure resources usage to accommodate varied workloads and priorities [70]. Consumers can extend or shrink the size of services according to their workloads. A flexible pricing model allows consumers to pay only for what they use [8].
作者: choroid    時間: 2025-3-24 02:28

作者: declamation    時間: 2025-3-24 07:26
,Service Providers’ Long-Term QoS Prediction Model,et indicates that most providers are making profits while maintaining service level agreements. Conversely, a lower performance index of a provider may suggest the provider should find some alternative solutions to become competitive and profitable in the market.
作者: 確定無疑    時間: 2025-3-24 13:24
Conclusion,ally viable cloud service infrastructure may boost the confidence of investors on their Return on Investments (ROI). In this respect, we propose an IaaS service composition framework to maximize long-term profits using quantitative and qualitative economic models.
作者: 圓桶    時間: 2025-3-24 17:15
https://doi.org/10.1007/978-3-319-73876-5Cloud Computing; Cloud Services; Infrastructure as a Service (IaaS); Long-term Service Composition; Econ
作者: 英寸    時間: 2025-3-24 21:00
978-3-319-89260-3Springer International Publishing AG 2018
作者: Bombast    時間: 2025-3-25 01:51

作者: 組成    時間: 2025-3-25 05:03

作者: 撫育    時間: 2025-3-25 10:46
Beginning Android ADK with Arduinocations [8]. The primary drivers for this . include the fast increase in the costs of maintaining in-house IT infrastructures, non-adaptability of traditional paradigms to changing business requirements, achieving better scalability and ease of management. On the part of IT resource providers, the h
作者: deactivate    時間: 2025-3-25 13:02
Using the Android Development Environment,ter understanding of the work described in this book. In particular, an overview of cloud service composition and economic models are presented in this chapter. Furthermore, we discuss existing prediction models and optimization techniques for developing economic models for an efficient management f
作者: NUDGE    時間: 2025-3-25 18:08
Mario Zechner,J. F. DiMarzio,Robert Greenly observe three desired properties in a flexible cloud service: . [21]. In the on-demand provision model, computing resources are made available to consumers as needed. Service consumers can use a service at any time irrespective of a short-term or a long-term contract [121]. Cloud elasticity is th
作者: 冬眠    時間: 2025-3-25 23:57
Android Invaders: The Grand Finale,o achieve the desired . goal while ensuring .. For example, a travel planner usually composes services from different transportation and accommodation services. The functional goal of the planner is to find a trip from a source to a destination for its users. However, such a composition usually take
作者: 失眠癥    時間: 2025-3-26 00:33
Beginning Android Games Developmentider can be calculated using the information of resource utilization, price fairness, consumers’ satisfactions and providers’ profits [71]. It is necessary for a provider to compare its performances with the overall performance of the cloud market. For example, a higher performance index of the mark
作者: 悲痛    時間: 2025-3-26 06:52

作者: 咯咯笑    時間: 2025-3-26 10:00
Introduction,cations [8]. The primary drivers for this . include the fast increase in the costs of maintaining in-house IT infrastructures, non-adaptability of traditional paradigms to changing business requirements, achieving better scalability and ease of management. On the part of IT resource providers, the h
作者: compassion    時間: 2025-3-26 16:16

作者: 寬容    時間: 2025-3-26 19:49

作者: EWE    時間: 2025-3-26 23:15

作者: Incommensurate    時間: 2025-3-27 01:30

作者: 暴發(fā)戶    時間: 2025-3-27 06:17
Conclusion,of 17%. SaaS-based applications are predicted to grow at 18% CAGR, and IaaS or PaaS is predicted to grow at 27% CAGR [114]. To further build and capitalize on this trend, further innovations in the cloud market are required. For example, a solid theoretical framework and architecture for an economic
作者: 葡萄糖    時間: 2025-3-27 12:04
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作者: 哥哥噴涌而出    時間: 2025-3-27 22:23
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