Towards a Data-driven IoT Software Architecture for Smart City Utilities
Yogesh Simmhan, Pushkara Ravindra, Shilpa Chaturvedi, Malati Hegde,, Rashmi Ballamajalu

TL;DR
This paper proposes a scalable, data-driven IoT software architecture for smart city utilities, validated through a campus testbed, emphasizing open standards, cloud-edge integration, and applicability to developing nations.
Contribution
It introduces a novel service-oriented IoT architecture tailored for smart utilities, integrating open standards, cloud, and edge computing, with validation in a real-world campus environment.
Findings
Architecture is scalable to city-level deployments.
Validated architecture effectively manages smart water in a campus setting.
Highlights gaps and opportunities for IoT in emerging markets.
Abstract
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 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 a service-oriented software architecture to address two 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…
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