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.
翻译:网络物理趋同、互联网在其边缘的快速扩展、人类用户及其个人移动装置之间的更紧密互动,推动以数据为中心的互联网,使人类用户变得比以往任何时候都更加重要。 我们争辩说,这将主要对下一代互联网处理数据的方式产生深刻影响。 这将需要彻底改变互联网数据管理模式,从目前的以平台为中心的模式转变为以人为中心的模式。 在本文中,我们提出了互联网数据管理的新模式,我们命名为“人互联网”(IoP),因为它将人类行为模型嵌入其算法。为此,IoP算法将利用人类个人和社会行为的数量模型,从社会学、人类学、心理学、经济学、物理学等角度加以利用。IoP并不是目前互联网网络基础设施的替代,而是将传统的互联网服务作为全球规模上实现端到端连接的(可信赖的)原始工具加以利用。在本意见文件中,我们首先讨论了IoP模式的关键特征以及潜在的研究问题和挑战。然后,我们提出了正在形成的数据管理模式,以对抗IP。