| 書目名稱 | Economic Models for Managing Cloud Services |
| 編輯 | Sajib Mistry,Athman Bouguettaya,Hai Dong |
| 視頻video | http://file.papertrans.cn/302/301716/301716.mp4 |
| 概述 | One of the first books that develops a long-term cloud service composition framework from a provider’s perspective.The proposed framework provides significant momentum to the business of IaaS provider |
| 圖書封面 |  |
| 描述 | .The authors introduce both the quantitative and qualitative economic models as optimization tools for the selection of long-term cloud service requests. 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 runtime resource utilization. A heuristic-based Integer Linear Programming (ILP) optimization approach is developed to maximize the runtime resource utilization. It deploys a Dynamic Bayesian Network (DBN) to model the dynamic pricing and long-term operating cost. A new Hybrid Adaptive Genetic Algorithm (HAGA) is proposed that optimizes a non-linear profit function periodically to address the stochastic arrival of requests. Next, the authors explore 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 |
| 出版日期 | Book 2018 |
| 關(guān)鍵詞 | Cloud Computing; Cloud Services; Infrastructure as a Service (IaaS); Long-term Service Composition; Econ |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-73876-5 |
| isbn_softcover | 978-3-319-89260-3 |
| isbn_ebook | 978-3-319-73876-5 |
| copyright | Springer International Publishing AG 2018 |
|Archiver|手機(jī)版|小黑屋|
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