面向PaaS云计算的多模型混合系统最优定价

Hao Lu, Xing Wu, Wu Zhang, Jin Liu
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引用次数: 6

摘要

云计算服务的成功取决于一个可接受的定价模式,特别是在PaaS中。PaaS层作为一个动态平台,依赖于基础设施层,并向应用层扩展。如何找到一个最优的定价策略是云提供商面对随机和动态需求的问题。本文提出了一种以利润最大化为目标的动态定价方法。我们用一个多条件混合系统来分析模型。但我们也使用收益最大化和成本最小化的理论。当在当前状态下,以系统内容成本最小化来构建一个收益最大化的混合系统时,我们将获得最大的利润。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Pricing of Multi-model Hybrid System for PaaS Cloud Computing
Success of cloud computing service depends on an acceptable pricing model, especially in the PaaS. As a dynamic platform, PaaS layer depends on the infrastructure layer and extends to the application layer. How to find an optimal pricing policy is the problem for the cloud providers in face of stochastic and dynamic demand. In this paper, we present an approach of dynamic pricing model in order to get max profits. We analyze the model by a multi-condition hybrid system. But we also use a theory of revenue maximization and cost minimization. When at a current state, the system content cost minimization to build a hybrid system for revenue maximization, we will get the most profits.
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