首页> 外文会议>IEEE International Black Sea Conference on Communications and Networking >Research and development the methods of quality of service provision in Mobile Cloud systems
【24h】

Research and development the methods of quality of service provision in Mobile Cloud systems

机译:研究和开发移动云系统中服务质量提供的方法

获取原文

摘要

Mobile Cloud Computing (MCC) is an integration of cloud computing in the mobile environment, which is used to improve the overall performance of the mobile devices. The rapid growth of cloud computing and mobile Internet services has triggered the emergence of mobile cloud services. Among many challenges, QoS management is one of the crucial issues for mobile cloud services. Here the survey of the current research related to QoS provision in mobile cloud computing is presented. The provision of QoS in mobile cloud computing is a challenging task. This is because of the dynamic characteristics of mobile networks and limited resources of mobile devices such as bandwidth, delay, packet loss ratio, battery life, storage capacity, computational power, security, etc. Also we present a cloud aware multimedia, which addresses how multimedia services and applications, such as storage and sharing, authoring and mashup, adaptation and delivery, and rendering and retrieval, can optimally utilize cloud-computing resources to achieve better quality of experience (QoE). The traffic of Lviv Polytechnic enterprise network have been analyzed. Simulation model processing of traffic in queues heterogeneity network on the basis of services priorities has been developed.
机译:移动云计算(MCC)是移动环境中云计算的集成,用于改善移动设备的整体性能。云计算和移动Internet服务的快速增长引发了移动云服务的出现。在众多挑战中,QoS管理是移动云服务的关键问题之一。这里介绍了与移动云计算中的QoS提供相关的当前研究概况。在移动云计算中提供QoS是一项艰巨的任务。这是由于移动网络的动态特性和移动设备的有限资源(例如带宽,延迟,丢包率,电池寿命,存储容量,计算能力,安全性等)引起的。此外,我们还介绍了一种云感知的多媒体,该多媒体解决了如何多媒体服务和应用程序,例如存储和共享,创作和混搭,改编和交付以及渲染和检索,可以最佳地利用云计算资源来获得更好的体验质量(QoE)。分析了利沃夫理工学院企业网络的流量。已经开发了基于服务优先级的队列异构网络中流量的仿真模型处理。

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