PaaS云联盟中物联网混合存储方法的需求

M. Fazio, A. Celesti, M. Villari, A. Puliafito
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引用次数: 31

摘要

在许多不同类型的传感器上监测活动对于支持物联网(IoT)及其未来的高级服务非常具有挑战性。然而,其中一个主要问题是必须存储和处理的异构信息数量的爆炸式增长,从而导致了众所周知的大数据问题。一些云策略已经被研究过,以提供面向物联网的服务,但它们并没有专门针对大数据管理的解决方案。在本文中,我们提出了一个基于混合存储系统的两层架构,该系统能够支持平台即服务(PaaS)联邦云场景。所建议的体系结构结合了这两种存储方法的优点。特别是,它一方面允许我们扩展类似sql的遗留系统,另一方面允许我们根据云联合方法通过类似xml的非sql分布式存储系统管理大数据。
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The Need of a Hybrid Storage Approach for IoT in PaaS Cloud Federation
Monitoring activities over many different types of sensors are very challenging to support advanced services for Internet of Things (IoT) and its future. However, one of the major issues is the explosion of the amount of heterogeneous information that has to be stored and processed, thus causing the well known Big Data problem. Some Cloud strategies have been investigated to offer IoT-oriented services, but they do not specifically address solutions for Big Data management. In this paper, we present a two-layer architecture based on a hybrid storage system able to support a Platform as a Service (PaaS) federated Cloud scenario. The proposed architecture combines the benefits of both storage approaches. In particular, it allows us on one hand to extend SQL-like legacy systems, and on the other hand to manage Big Data through an XML-like, non-SQL distributed storage system according to a Cloud federation approach.
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