A Smart Service Rebuilding Scheme across Cloudlets via Mobile AR Frame Feature Mapping
A Smart Service Rebuilding Scheme across Cloudlets via Mobile AR Frame Feature Mapping
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DOI：
10.1109/icc.2018.8422226
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发表时间：
2018-05
期刊：
影响因子：
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通讯作者：
Haoxin Wang;Jiang Xie;T. Han
中科院分区：
文献类型：
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作者：
Haoxin Wang;Jiang Xie;T. Han
与云相比，移动的边缘计算平台（例如，cloudlet）使计算资源更接近移动的用户，这减少了端到端网络延迟。这一优势使得大量需要低延迟和高计算能力的实时移动的应用成为可能，尤其是增强现实（AR）。然而，当移动的用户离开所连接的小云时，卸载的服务必须在新的附近小云上迁移或重建。然而，该服务重建过程花费大量时间并且可能恶化用户体验。本文提出了一种智能服务重建方案，在移动的用户移动时，将卸载的服务无缝地恢复到目标云上。服务重建过程包括无线切换阶段和服务切换阶段。通过利用从移动的用户的相机的捕获帧中提取的特征，经由在被触发无线电切换之前预测用户的目标微云来实现无缝服务重建过程。在此基础上，设计了一种特征映射算法，以提高预测精度和缩短预测延迟。我们实现了我们的计划上的测试平台，并进行实验，使用真实的世界AR应用程序。实验结果表明，我们提出的方案减少了约65.8%的服务重建延迟，相比传统的重建过程。此外，我们进行了广泛的模拟，以评估我们提出的特征映射算法的性能。仿真结果表明，该算法具有较好的鲁棒性，能够以较高的精度和较低的延迟预测用户的目标云。
Mobile edge computing platforms, such as cloudlets, bring computation resources closer to mobile users, as compared to the cloud, which decreases the end-to-end network latency. This benefit enables a myriad of real-time mobile applications, especially augmented reality (AR), that require low latency and high computation power. However, when mobile users move away from the attached cloudlet, the offloaded services have to be migrated or rebuilt on a new nearby cloudlet. However, this service rebuilding process takes a lot of time and may deteriorate user experience. In this paper, we propose a smart service rebuilding scheme which seamlessly restores the offloading services on the target cloudlet while the mobile user is moving. The service rebuilding process includes the radio handoff stage and service handoff stage. A seamless service rebuilding process is achieved via predicting user's target cloudlet before being triggered a radio handoff, by leveraging extracted features from the captured frames of the mobile user's camera. Furthermore, based on the proposed service rebuilding scheme, we design a feature mapping algorithm to achieve a high prediction precision and a short prediction latency. We implement our scheme on a testbed and conduct experiments using real world AR applications. The experimental results show that our proposed scheme decreases the service rebuilding latency by around 65.8%, as compared to the conventional rebuilding process. In addition, we conduct extensive simulations to evaluate the performance of our proposed feature mapping algorithm. Simulation confirms that our algorithm is robust and can predict users' target cloudlet with high precision and low latency.