A joint peer-to-peer and network coding approach for large scale information management

Marco Picone, M. Amoretti, M. Martalò, Erind Meco, F. Zanichelli, G. Ferrari
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Abstract

The widespread availability of connectivity to the Internet allows to share large amount of information generated by the most heterogeneous, possibly mobile, sources. One scenario where this situation arises is given by smart cities, which are envisioned to generate and consume relevant information about their statuses to enhance the security and lifestyle of their citizens. In this context, a very challenging question is how the information can be maintained and distributed among the city itself. In this paper, we propose a system architecture based on the creation of a distributed geographic overlay network, which allows to achieve the desired goals. Moreover, information is redundantly encoded by means of randomized network coding, in order to dynamically and distributedly preserve the resource availability. By means of simulations, we investigate the behavior of the proposed solution, in terms of efficiency and speed in data publication/search, as well as resource availability and storage occupancy requirements.
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面向大规模信息管理的点对点和网络联合编码方法
Internet连接的广泛可用性允许共享由最异构的(可能是移动的)来源生成的大量信息。出现这种情况的一个场景是智能城市,它被设想为生成和消费有关其状态的相关信息,以增强其公民的安全和生活方式。在这种情况下,一个非常具有挑战性的问题是如何在城市内部维护和分发信息。在本文中,我们提出了一种基于创建分布式地理覆盖网络的系统架构,可以实现预期的目标。此外,采用随机网络编码对信息进行冗余编码,以动态地、分布式地保持资源的可用性。通过模拟,我们从数据发布/搜索的效率和速度,以及资源可用性和存储占用要求方面研究了所提出的解决方案的行为。
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