时间：2015年6月4日(星期四)下午16:00
地点：仓山校区成功楼603学术报告厅
主办：数学与计算机科学学院, 福建省网络安全与密码技术重点实验室
主讲：颜国风博士 国防科技大学
专家简介：颜国风，男，博士，从事云计算端到端服务、计算机网络、端到端通信系统的性能分析及其应用研究，在运用Markov随机模型分析上述系统的性能及应用中做出了一系列成果，已在国外著名学术SCI期刊和国内软件学报、计算机研究与发展等期刊上发表论文SCI/EI论文20余篇，作为重要参与人员，参与国家973项目2项、863重点项目1项，主持中国博士后面上项目1项，湖南省优秀青年项目和一般项目各1项。
报告摘要:Quality of service (QoS) optimizations of end-to-end (e2e) services consolidation always depend on performance analysis of services in cloud-based service delivery industry. However, performance analysis of e2e services becomes difficult as the scale and complexity of virtualized computing environments increase. In this paper, we present a novel stochastic analyzing model for e2e virtualized cloud services using hierarchical Quasi-Birth Death structures (QBDs), where jobs arrive according to a stochastic process and request virtual machines (VMs), which are specified in terms of resources, i.e., VM-$configuration$. We divide the overall virtualized cloud services into three sub-hierarchies, i.e., overall system, single server, and single type of requests, and then, analyze each individual sub-hierarchy using QBDs. Our approach reduces the complexity of performance analysis. The key performance metrics of e2e cloud service QoS, such as acceptance probability and e2e response delay incurred on user requests, are obtained. Our results are useful to prevent the cloud center from entering unsafe operation, and also reveal practical insights into load balancing and capacity planning for virtualized computing environments.