基于资源互补与复用的IaaS云产品捆绑定价与容量规划
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浙江工业大学

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中图分类号:

F49

基金项目:

国家自然科学基金项目(面上项目,重点项目,重大项目)


Bundle Pricing and Capacity Planning of IaaS Cloud Products with Complementary and Multiplexed Resources
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Affiliation:

zhejiang university of technology

Fund Project:

The National Natural Science Foundation of China (General Program, Key Program, Major Research Plan)

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    摘要:

    IaaS云产品定价与容量规划问题近年来引起广泛关注, 但现有文献尚未在资源互补与复用及捆绑销售的视角下研究该问题. 考察一个提供预留类与现货类云产品、具有两种互补性资源的IaaS提供商, 将资源复用纳入容量规划考量, 本文通过比较单独、捆绑和混合销售预留类产品时各模式下的最优定价、容量规划及IaaS提供商的利润, 分析了IaaS提供商和用户最偏好的销售模式. 研究发现: (1) IaaS提供商选择混合销售能实现最大利润, 若只能选择非混合销售, 在面临具有较强互补性的资源和对捆绑折扣价格较敏感的用户时, 选择捆绑销售, 反之, 选择单独销售. (2) 捆绑产品用户获益最大的模式是捆绑销售, 非捆绑产品用户获益最大的模式是混合销售. (3) 资源间互补性越弱, 捆绑销售的价格折扣越明显. (4) 资源复用使预留类产品定价更低、需求更大, 也使IaaS 提供商利润更高, 因此资源复用能使IaaS提供商和用户实现双赢. 本文为基于资源互补与复用的IaaS云产品捆绑定价与容量规划决策提供了理论支持和实践建议.

    Abstract:

    The pricing and capacity planning problem of IaaS cloud products has received widespread attention in recent years, however, this problem has not been studied from the perspectives of complementary and multiplexed resources as well as bundle sales. Considering an IaaS provider with two complementary resources and two cloud products (reserved instances and spot instances), and incorporating resource multiplexing into resource capacity planning, this paper first compares optimal pricing, capacity planning decisions and profits of the IaaS provider in three sales models of reserved instances (individual sales, bundle sales, and hybird sales), and then investigates both the IaaS provider and the cloud users" preferred sales models. The results show that: (1) For the IaaS provider, its profit reaches maximum when it selects the model of hybird sales, if only the models of individual sales and bundle sales are allowed, then when both the degree of complementary and the bundling discount price sensitivity are relatively large, it would select the model of bundle sales, otherwise, it would select the model of individual sales. (2) For cloud users, bundled product users prefer the model of bundle sales, and unbundled product users prefer the model of hybird sales. (3) The smaller the degree of complementary of the products, the greater the bundle discount. (4) Multiplexing resources makes the price of reserved instances lower, and the demand of reserved instances and the profit of the IaaS provider greater, therefore, it enables a win-win situation for both the IaaS provider and cloud users. This paper provides theoretical support and practical suggestions for bundle pricing and capacity planning decisions of IaaS cloud products with complementary and multiplexed resources.

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  • 收稿日期:2024-07-17
  • 最后修改日期:2024-12-04
  • 录用日期:2024-12-05
  • 在线发布日期: 2024-12-19
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