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Hybrid Delay Optimization and Workload Assignment in Mobile Edge Cloud Networks

机译:移动边缘云网络中的混合延迟优化和工作负载分配

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Nowadays, the usage of mobile devices is progressively increased. Until, delay sensitive applications (Augmented Reality, Online Banking and 3D Game) are required lower delay while executed in the mobile device. Mobile Cloud Computing provides a rich resource environment to the constrained-resource mobility to run above mentioned applications, but due to long distance between mobile user application and cloud server introduces hybrid delay ( i.e. , network delay and process delay). To cope with the hybrid delay in mobile cloud computing for delay sensitive applications, we have proposed novel hybrid delay task assignment (HDWA) algorithm. The preliminary objective of the HDWA is to run the application on the cloud server in an efficient way that minimizes the response time of the application. Simulation re sults show that proposed HDWA has better performance as compared to baseline approaches.
机译:如今,移动设备的使用逐渐增加。直到对延迟敏感的应用程序(增强现实,在线银行和3D游戏)在移动设备中执行时要求较低的延迟。移动云计算为受约束的资源移动性提供了丰富的资源环境以运行上述应用程序,但是由于移动用户应用程序与云服务器之间的距离太长,因此引入了混合延迟(即网络延迟和进程延迟)。为了应对对延迟敏感的应用程序在移动云计算中的混合延迟,我们提出了新颖的混合延迟任务分配(HDWA)算法。 HDWA的首要目标是以一种有效的方式在云服务器上运行应用程序,以最大程度地缩短应用程序的响应时间。仿真结果表明,与基线方法相比,拟议的HDWA具有更好的性能。

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