自然环境下基于异构多源的边缘计算公共安全系统

自然环境下基于异构多源的边缘计算公共安全系统

孙辉，余莹

安徽大学

摘要：现有基于集中式大数据的公共安全系统较难满足实时性、精准性、隐私性及能耗等问题。基于边缘计算的多源大数据的时代已经到来，多源数据主要包括：社会中政务和媒体数据、各种传感器收集的数据、智能终端产生的自媒体数据等。认为边缘计算与传统集中式云计算二者相结合，可较好地处理这些边缘异构多源数据，并提出了基于边缘计算的智能交通系统、基于边缘计算的公共安全监测控制系统以及基于边缘计算的灾难预警与救援系统。
关键词:边缘计算；多源异构；智能终端；协同

Edge Computing-Based Systems for Multi-Source Heterogeneous in Public Safety

SUN Hui, YU Ying

Anhui University

Abstract：Currently, cloud computing-based public safety systems are challenging to meet the requirements of real-time, accuracy, privacy, and energy consumption. The multi-source and heterogeneous-based big data applications that use the edge computing paradigm has become the popular applications. Multi-source-based big data mainly includes: (1) big data for governments and social media data; (2) data collected by various sensors; (3) self-media data from intelligent end devices. Edge computing, which collaborates with traditional cloud computing, can better handle these edge heterogeneous multi-source data. In this paper, three types of edge computing-based systems for heterogeneous multi-source are proposed: an edge computing-enabled intelligent transportation system, an edge computing-based monitoring system in public safety, and a disaster alert and notification system using the edge computing paradigm.
Keywords: edge computing; multi-source heterogeneous; intelligent device; collaboration