Privacy-Aware Energy Management in the Smart Community using Edge and Cloud Computing Infrastructure

智能环境中的城市传感需要一种新的架构，以促进用户定义的QoS需求，更重要的是，解决以云为中心的方法所存在的安全问题。物联网网络的复杂拓扑结构进一步加剧了这一问题，因为异构设备必须协同工作，利用各种技术组合来近乎实时地通信和处理数据流。通过编排跨边缘和云的分析，我们可以减少延迟，并引入系统来适应关键的QoS约束。特别是，可以在Edge上实现隐私保护机制，以解决向云传输数据的安全问题。智能建筑领域DRM系统的安全平台，特别是能源监测平台，是目前研究的一个空白。该提案旨在利用受到严密监控的城市科学大楼和公开可用的城市天文台数据集收集的真实传感器数据，为上述问题找到切实可行的解决方案。数据分析的模拟可以通过最近提供的工具进一步补充，以实现新兴物联网和边缘云环境的模拟；IOTSim和iFogSim。

A new architecture for urban sensing in the smart environment is required to facilitate userdefined QoS requirements and, importantly, address the security issues that are present with a cloud-centric approach. The complex topology of IoT networks further exacerbates this problem, as heterogeneous devices must work together utilising a combination of technologies to communicate and process data streams in near real-time. By orchestrating the analysis across theEdge and Cloud, we can reduce latency and introduce systems to adapt to critical QoS constraints. In particular, a mechanism for privacy preservation can be implemented at the Edge to address the security issues of streaming data to the Cloud. A secure platform for DRM systems in the smart building domain, specifically for energy monitoring, is a gap in current research. This proposal aims to find practical solutions to the aforementioned concerns, making use of real sensor data collected by the heavily-monitored Urban Sciences Building and the publicly available Urban Observatory datasets. Simulation of the data analysis can be further supplemented by recent tools made available to enable the simulation of emerging IoT and Edge-Cloud environments; IOTSim and iFogSim.