首页> 外文期刊>International Journal of Mechanics and Solids >Providing an Optimal Price Demand Model by Cloud Cache
【24h】

Providing an Optimal Price Demand Model by Cloud Cache

机译:通过云缓存提供最佳价格需求模型

获取原文
获取原文并翻译 | 示例
           

摘要

Cloud computing is a practical approach to experience direct cost benefits and it has the potential to transform a data centre from a capital-intensive set up to a variable priced environment. Cloud providers trade their services on cloud resources for money. It include separate prices for infrastructure elements, i.e., disk space, CPU, I/O, bandwidth and applications deployed on the infrastructure where the service is prices as static, and provides the user for pay as per the usage. These pricing scheme does not maximize profit for cloud providers. The goal of cloud economy is to optimize user satisfaction and cloud profit. So, we propose a novel scheme that achieves optimal pricing for the services of a cloud cache which is offered by a cloud provider as an integral part of its platform-as-a-service. The goal of such a cloud cache is to provide efficient querying on the back-end data at a low cost and a dynamic pricing scheme for queries executed in the cloud cache. Data caching in a cloud is a key paradigm for improving the performance of web services in terms of both end-user latency and database load.
机译:云计算是一种获得直接成本收益的实用方法,它具有将数据中心从资本密集型设置转变为价格可变的环境的潜力。云提供商将自己的服务在云资源上进行交易。它包括基础架构元素的单独价格,即磁盘空间,CPU,I / O,带宽和部署在基础架构上的应用程序,其中服务是静态价格,并根据使用情况向用户提供付费。这些定价方案无法为云提供商带来最大的利润。云经济的目标是优化用户满意度和云利润。因此,我们提出了一种新颖的方案,该方案可为云缓存的服务实现最佳定价,而云提供商将其作为平台即服务的组成部分来提供。这种云缓存的目标是以低成本提供对后端数据的高效查询,以及针对云缓存中执行的查询的动态定价方案。在最终用户延迟和数据库负载方面,云中的数据缓存是提高Web服务性能的关键范例。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号