摘要
With network developing and virtualization rising,more and more indoor environment(POIs) such as cafe,library,office,even bus and subway can provide plenty of bandwidth and computing resources.Meanwhile many people daily spending much time in them are still suffering from the mobile device with limited resources.This situation implies a novel local cloud computing paradigm in which mobile device can leverage nearby resources to facilitate task execution.In this paper,we implement a mobile local computing system based on indoor virtual cloud.This system mainly contains three key components:1) As to application,we create a parser to generate the "method call and cost tree" and analyze it to identify resourceintensive methods.2) As to mobile device,we design a self-learning execution controller to make offloading decision at runtime.3) As to cloud,we construct a social scheduling based application-isolation virtual cloud model.The evaluation results demonstrate that our system is effective and efficient by evaluating CPUintensive calculation application.Memoryintensive image translation application and 1/O-intensive image downloading application.
With network developing and virtualization rising, more and more indoor environment (POIs) such as care, library, office, even bus and subway can provide plenty of bandwidth and computing resources. Meanwhile many people daily spending much time in them are still suffering from the mobile device with limited resources. This situation implies a novel local cloud computing paradigm in which mobile device can leverage nearby resources to facilitate task execution. In this paper, we implement a mobile local computing system based on indoor virtual cloud. This system mainly contains three key components: 1)As to application, we create a parser to generate the "method call and cost tree" and analyze it to identify resource- intensive methods. 2) As to mobile device, we design a self-learning execution controller to make offtoading decision at runtime. 3) As to cloud, we construct a social scheduling based application-isolation virtual cloud model. The evaluation results demonstrate that our system is effective and efficient by evaluating CPU- intensive calculation application, Memory- intensive image translation application and I/ O-intensive image downloading application.
基金
ACKNOWLEDGEMENTS This work was supported by the Research Fund for the Doctoral Program of Higher Education of China (No.20110031110026 and No.20120031110035), the National Natural Science Foundation of China (No. 61103214), and the Key Project in Tianjin Science & Technology Pillar Program (No. 13ZCZDGX01098).
关键词
计算机系统
移动设备
室内环境
虚拟化
咖啡馆
应用程序
基础
智能
mobile local computing system, application partition, dynamic offloading strategy, virtual cloud model, social scheduling