集成IoT和云环境的指纹识别
Integrated IoT and Cloud Environment for Fingerprint Recognition
摘要：
涉及大型数据集分析的大数据应用程序成为许多新兴模式的关键部分，如智能城市，社交网络和现代安全系统。云计算通过其提供无限资源的假象的能力已经发展成为托管大数据应用的主流。然而，利用云资源进行大规模大数据计算在很大程度上是特定于应用的。在本文中，我们提出了一个系统，大规模的指纹匹配应用程序使用Aneka，一个平台或开发可扩展的应用程序上的云。我们提出了我们所提出的系统的设计和实现，并进行实验，以评估其性能使用Microsoft Azure的资源。实验结果表明，匹配时间的生物特征信息，如指纹在大规模数据库中，可以大大减少使用我们提出的系统。
英文摘要：
Big data applications involving the analysis of large datasets becomes a critical part of many emerging paradigms such as smart cities, social networks and modern security systems. Cloud computing has developed as a mainstream for hosting big data applications by its ability to provide the illusion of infinite resources. However, harnessing cloud resources for large-scale big data computation is application specific to a large extent. In this paper, we propose a system for large-scale fingerprint matching application using Aneka, a platform or developing scalable applications on the Cloud. We present the design and implementation of our proposed system and conduct experiments to evaluate its performance using resources from Microsoft Azure. Experimental results demonstrate that matching time for biometric information such as fingerprints in large-scale databases can be reduced substantially using our proposed system.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
