首页> 外文会议>International Conference on Computer Science and Service System;CSSS 2012 >A Cloud Computing Resource Pricing Strategy Research-Based on Resource Swarm Algorithm
【24h】

A Cloud Computing Resource Pricing Strategy Research-Based on Resource Swarm Algorithm

机译:基于资源群算法的云计算资源定价策略研究

获取原文
获取原文并翻译 | 示例

摘要

Cloud computing arise as an efficient way to allocate resources for execution of task and services within a set of geographically dispersed providers from different organizations. In cloud computing, an IaaS computing model called Cloud Bank. Cloud Bank model [1] is an IaaS model on the basis of economics principal and cloud computing features. It can be partly distinguished from other traditional IaaS providers by the sources of infrastructure resources. In Cloud Bank, pricing resources is the key problem. Client applications and services providers meet in Cloud Bank and negotiate for the sales of services by means of the signature of a service level agreement. This paper come up with a resource pricing strategy based on Resource Swarm Optimization to solve the problem of how to price computing resources in Cloud Bank model.
机译:云计算作为一种有效的方式来分配资源,以在来自不同组织的一组地理位置分散的提供程序中分配资源以执行任务和服务。在云计算中,称为云银行的IaaS计算模型。 Cloud Bank模型[1]是基于经济学原理和云计算功能的IaaS模型。通过基础结构资源的来源,它可以与其他传统的IaaS提供商部分地区分开。在Cloud Bank中,定价资源是关键问题。客户端应用程序和服务提供商在Cloud Bank中会面,并通过签署服务级别协议来就服务的销售进行谈判。本文提出了一种基于资源群优化的资源定价策略,以解决云银行模型中计算资源的定价问题。

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