论文标题
人网：下一代互联网的人类和以数据为中心的范式
The Internet of People: A human and data-centric paradigm for the Next Generation Internet
论文作者
论文摘要
网络物理融合，互联网在其优势处的快速扩展以及人类用户与其个人移动设备之间的紧密相互作用推向了以数据为中心的互联网，在该互联网上，人类用户比以往任何时候都更加中心。我们认为，这将主要影响下一代Internet中应处理数据的方式。它将需要从当前以平台为中心到以人为中心的模型进行互联网数据管理范式的根本变化。在本文中，我们提出了一个新的互联网数据管理范式，我们将其命名为Internet（IOP），因为它将人类行为模型嵌入其算法中。为此，IOP算法利用了人类学，人类学，心理学，经济学，物理学的人类和社会行为的定量模型。 IOP并不是当前Internet网络基础架构的替代，而是将传统的Internet服务作为（可靠的）原始人来实现全球尺度上的端到端连接。在本意见论文中，我们首先讨论了IOP范式的关键特征以及基本的研究问题和挑战。然后，我们提出了预期IOP的新兴数据管理范例。
The cyber-physical convergence, the fast expansion of the Internet at its edge, and tighter interactions between human users and their personal mobile devices push towards a data-centric Internet where the human user becomes more central than ever. We argue that this will profoundly impact primarily on the way data should be handled in the Next Generation Internet. It will require a radical change of the Internet data-management paradigm, from the current platform-centric to a human-centric model. In this paper we present a new paradigm for Internet data management that we name Internet of People (IoP) because it embeds human behavior models in its algorithms. To this end, IoP algorithms exploit quantitative models of the humans' individual and social behavior, from sociology, anthropology, psychology, economics, physics. IoP is not a replacement of the current Internet networking infrastructure, but it exploits legacy Internet services as (reliable) primitives to achieve end-to-end connectivity on a global-scale. In this opinion paper, we first discuss the key features of the IoP paradigm along with the underlying research issues and challenges. Then, we present emerging data-management paradigms that are anticipating IoP.
