Convergence of Internet of Things and Cloud for Smart Computing

IoT-cloud convergence is discussed, focusing on complex industrial IoT case studies, architectures, resource provisioning, context-aware solutions, and a simplified convergence model.

Format: Hardback
Length: 122 pages
Publication date: 03 August 2021
Publisher: Taylor & Francis Ltd

The Internet of Things (IoT) is a rapidly evolving technology that is revolutionizing the way we interact with the world around us. It enables the connection of devices, from small sensors to large industrial machines, to the internet, allowing them to collect and share data in real-time. IoT-cloud convergence is a key aspect of this technology, as it combines the benefits of cloud computing with the capabilities of IoT devices.

One of the key challenges of IoT-cloud convergence is the provisioning of resources. IoT devices require a significant amount of bandwidth, storage, and processing power to function effectively. Traditional cloud computing architectures are not designed to handle the scale and complexity of IoT data. As a result, new approaches to resource provisioning are needed.

One approach to resource provisioning is context-aware IoT solutions. These solutions use sensors and other devices to collect data about the environment in which the IoT devices are operating. This data is then used to optimize resource allocation, ensuring that the devices receive the resources they need to function efficiently.

Another approach to resource provisioning is the use of cloud-based services. Cloud-based services can provide scalable and flexible infrastructure that can handle the large amounts of data generated by IoT devices. This allows businesses to easily scale their IoT applications as they grow.

In addition to resource provisioning, IoT-cloud convergence also requires the development of context-aware IoT solutions. Context-aware solutions are designed to take into account the specific context in which the IoT devices are operating. This includes factors such as location, time, and user behavior. By understanding the context, businesses can develop solutions that are more personalized and effective.

A novel C-model is presented that explains the IoT application development phases. The C-model includes four phases: Connect, Collect, Compute, and Communicate. Each phase represents a different stage of the IoT application development process.

A simplified convergence model is also presented that depicts the role of cloud in an IoT application. The model includes three main components: the IoT device, the cloud, and the application. The IoT device collects data from the environment, which is then sent to the cloud for processing and storage. The cloud provides the necessary infrastructure and services to support the IoT application.

In conclusion, IoT-cloud convergence is a rapidly evolving technology that is transforming the way we interact with the world around us. It requires the development of context-aware IoT solutions and the use of cloud-based services to provision resources. By understanding the broad background of IoT-cloud convergence architectures and their fundamentals, businesses can develop solutions that are more personalized and effective. The C-model and simplified convergence model presented in this paper provide a framework for developing IoT applications that are optimized for the cloud.

Weight: 286g
Dimension: 144 x 223 x 16 (mm)
ISBN-13: 9781032038049