文章基本信息

标题：Optimal Service Pricing for Cloud Based Services
本地全文：下载
作者：Deepak Mishra ; Manish Shrivastava
期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2012
卷号：2
期号：3
页码：531-540
出版社：International Journal of Soft Computing & Engineering
摘要：Cloud computing is a profound revolution in the way it offers the computation capability. The main objective now is to reduce the cost of deploying a service in the cloud and having proper coordinative in between models. Public, private, and hybrid cloud environments all face the performance limitations inherent in today’s applications and networks. In order for enterprises to maximize the flexibility and cost savings of the Public, private, and hybrid cloud they must overcome the same latency and bandwidth constraints that challenge distributed IT infrastructure environments. By overcoming application and network performance problems, Cloud Steelhead accelerates the process of migrating data and applications to the cloud, and accelerates access to that data from anywhere Cloud Computing applications that offer data management services are emerging. Such clouds support caching of data in order to provide quality query services. The users can query the cloud data, paying the price for the infrastructure they use. Cloud management necessitates an economy that manages the service of multiple users in an efficient, but also, resource economic way that allows for cloud profit. Naturally, the maximization of cloud profit given some guarantees for user satisfaction presumes an appropriate price-demand model that enables optimal pricing of query services. Optimal pricing is achieved based on a dynamic pricing scheme that adapts to time changes. This proposes a novel price-demand model designed for a cloud cache and a dynamic pricing scheme for queries executed in the cloud cache. The pricing solution employs a novel method that estimates the correlations of the cache services in a time-efficient manner and also applied some prediction technique in between correlation models with the use of cooperative cache from self as well as different hybrid cloud.
关键词：cloud data management; data services; cloud service;pricing; Cooperative Cache; Prediction Technique