Towards a data-driven IoT software architecture for smart city utilities

被引:35
|
作者
Simmhan, Yogesh [1 ]
Ravindra, Pushkara [1 ]
Chaturvedi, Shilpa [1 ]
Hegde, Malati [1 ]
Ballamajalu, Rashmi [1 ]
机构
[1] Indian Inst Sci, Bangalore, Karnataka, India
来源
SOFTWARE-PRACTICE & EXPERIENCE | 2018年 / 48卷 / 07期
关键词
big data platforms; cloud computing; information integration; Internet of things; smart cities; stream processing; wireless sensor networks; INTERNET; THINGS; SYSTEMS;
D O I
10.1002/spe.2580
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
The Internet of things (IoT) is emerging as the next big wave of digital presence for billions of devices on the Internet. Smart cities are a practical manifestation of IoT, with the goal of efficient, reliable, and safe delivery of city utilities like water, power, and transport to residents, through their intelligent management. A data-driven IoT software platform is essential for realizing manageable and sustainable smart utilities and for novel applications to be developed upon them. Here, we propose such service-oriented software architecture to address 2 key operational activities in a smart utility: the IoT fabric for resource management and the data and application platform for decision-making. Our design uses Open Web standards and evolving network protocols, cloud and edge resources, and streaming big data platforms. We motivate our design requirements using the smart water management domain; some of these requirements are unique to developing nations. We also validate the architecture within a campus-scale IoT testbed at the Indian Institute of Science, Bangalore and present our experiences. Our architecture is scalable to a township or city while also generalizable to other smart utility domains. Our experiences serve as a template for other similar efforts, particularly in emerging markets and highlight the gaps and opportunities for a data-driven IoT software architecture for smart cities.
引用
收藏
页码:1390 / 1416
页数:27
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