通过数据库复制增强边缘计算

Yi Lin, Bettina Kemme, M. Patiño-Martínez, R. Jiménez-Peris
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引用次数: 63

摘要

随着互联网的使用持续爆炸式增长,边缘计算已经成为通过互联网交付Web内容的重要技术。边缘计算使数据和计算更接近最终用户,从而实现快速本地访问和更好的负载分配。当前的方法使用缓存,这在处理高度动态的数据时不能很好地工作。在本文中,我们提出了一种不同的方法来增强边缘计算。我们的方法在于广域数据复制协议,该协议能够提供具有完全一致性保证的动态内容,并具有边缘计算的所有优势,例如低延迟和高可扩展性。更重要的是,提议的解决方案对于被带到边缘的应用程序是完全透明的。我们在使用TPC-W的真实广域网中进行了广泛的评估,显示出令人鼓舞的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing Edge Computing with Database Replication
As the use of the Internet continues to grow explosively, edge computing has emerged as an important technique for delivering Web content over the Internet. Edge computing moves data and computation closer to end-users for fast local access and better load distribution. Current approaches use caching, which does not work well with highly dynamic data. In this paper, we propose a different approach to enhance edge computing. Our approach lies in a wide area data replication protocol that enables the delivery of dynamic content with full consistency guarantees and with all the benefits of edge computing, such as low latency and high scalability. What is more, the proposed solution is fully transparent to the applications that are brought to the edge. Our extensive evaluations in a real wide area network using TPC-W show promising results.
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