首页> 外文期刊>Procedia Computer Science >Performance Evaluation of Cloud Services with Profit Optimization
【24h】

Performance Evaluation of Cloud Services with Profit Optimization

机译:通过利润优化评估云服务的性能

获取原文
       

摘要

Cloud computing is a promising computing paradigm which allows distribution of services from a pool of resources. The services are required by the clients through on-demand via pay and use method. The greatest utilization of resources and maximum profits with scheduling is the main goal of the cloud service providers. The major issue in cloud computing is scheduling of services with improved global throughput and job scheduling. Since, cloud computing is a service based one, the performance evaluation is an important criteria to be dealt with. In this paper, we propose a Priority based Queuing model to evaluate the services leased by the cloud service providers. We consider general service time and response time for arriving requests and the waiting requests are stored in the queue. The services are considered to be SaaS (Software as a Service), PaaS (Platform as a Service) and IaaS (Infrastructure as a Service). We construct this using Queuing model with markovian arrival rate, general service rate, ‘m’ number of servers, priority queue discipline and a buffer of size ‘r’. The advantage of the proposed analytical model is within the time span, the cloud service provider schedules his services to result in maximum profit.
机译:云计算是一种有前途的计算范例,它允许从资源池中分发服务。客户通过按需付款和使用方法按需提供服务。通过调度来最大程度地利用资源和获得最大利润是云服务提供商的主要目标。云计算中的主要问题是具有改进的全局吞吐量和作业调度的服务调度。由于云计算是基于服务的,因此性能评估是要处理的重要标准。在本文中,我们提出了一种基于优先级的排队模型,以评估云服务提供商租用的服务。我们考虑到达请求的一般服务时间和响应时间,并将等待请求存储在队列中。这些服务被认为是SaaS(软件即服务),PaaS(平台即服务)和IaaS(基础架构即服务)。我们使用排队模型构造马尔科夫到达率,一般服务率,“ m”个服务器数量,优先级队列规则和大小为“ r”的缓冲区。所提出的分析模型的优势在于时间跨度内,云服务提供商可以安排其服务以实现最大的利润。

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