Abstract: The Internet of Things (IoT) has acquired notoriety also, is progressively utilized in huge scope arrangements for modern applications. Such deployments depend on the adaptability and versatility of frameworks and gadgets. Heterogeneous frameworks should be interoperable also, cooperate flawlessly. To oversee such arrangement of frameworks, it is significant to work with a structure that not just backings the adaptable idea of IoT frameworks yet in addition gives satisfactory help for modern prerequisites, like constant also, runtime highlights, building draws near, equipment requirements, normalization, modern help, interoperability, and security. The choice of a fitting system results troublesome because of the rising number of accessible structures and stages, which offer different help for the previously mentioned necessities. Thusly, this article researches the highlights of seven conspicuous structures to improve on the determination of a reasonable structure for a modern application. The point of this article is to introduce the new turns of events and best in class of modern IoT structures and give a specialized correlation of their elements and attributes. The study investigates the open source machine learning frameworks, aligned with the industrial domain (processing data generated from Industrial Internet of Things), in terms of usage, programming languages, implementations, and future prospectus.

Key word: Frameworks, Industrial Internet of Things (IIoT), system of systems (SoS), Cloud services.

| DOI: 10.17148/IARJSET.2023.10614