Heuristic Virtual Machine Allocation for Multi-Tier Ambient Assisted Living Applications in a Cloud Data Center

作     者：Jing Bi Haitao Yuan Ming Tie Xiao Song 

作者机构：School of Software EngineeringBeijing University of TechnologyBeijing 100124China Beijing Engineering Research Center for IoT Software and SystemsBeijing 100124China School of Software EngineeringBeijing Jiaotong UniversityBeijing 100044China Science and Technology on Space Physics LaboratoryBeijing 100076China Beijing Institute of Near space Vehicle's Systems EngineeringBeijing 100076China School of Automation Science and Electrical EngineeringBeihang UniversityBeijing 100191China 

出 版 物：《China Communications》 (中国通信（英文版）)

年 卷 期：2016年第13卷第5期

页      面：56-65页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0839[工学-网络空间安全] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：分配算法 数据中心 虚拟机 启发式 M/M/1排队模型 应用 生活 环境 

摘      要：Cloud computing provides the essential infrastructure for multi-tier Ambient Assisted Living(AAL) applications that facilitate people s lives. Resource provisioning is a critically important problem for AAL applications in cloud data centers(CDCs). This paper focuses on modeling and analysis of multi-tier AAL applications, and aims to optimize resource provisioning while meeting requests response time constraint. This paper models a multi-tier AAL application as a hybrid multi-tier queueing model consisting of an M/M/c queueing model and multiple M/M/1 queueing models. Then, virtual machine(VM) allocation is formulated as a constrained optimization problem in a CDC, and is further solved with the proposed heuristic VM allocation algorithm(HVMA). The results demonstrate that the proposed model and algorithm can effectively achieve dynamic resource provisioning while meeting the performance constraint.