Design and Analysis of Cloud Computing–Based Computer Networking Architectures for Efficient Internet of Things Ecosystems

Abstract

The fast growth of Internet of Things (IoT) devices has made it much harder to scale, deal with latency, manage data, and make networks more efficient. Traditional networking architectures have a hard time dealing with the huge amounts of different types of data that IoT environments produce. To overcome these constraints, this study offers a detailed design and examination of cloud computing-based networking architectures specifically designed for optimal IoT ecosystems. The proposed framework combines cloud-based networking ideas with IoT communication models to make data processing more scalable, resources more flexible, and the Quality of Service (QoS) better. To look at many architectural parts, such as the device layer, network layer, cloud service layer, and application layer, in a methodical way, taking into account latency, bandwidth use, fault tolerance, and energy efficiency. Performance tests show that cloud-assisted networking greatly increases data throughput, cuts down on processing delays, and makes it easy for different IoT devices to operate together. The results show that cloud-enabled networking designs are good for developing strong, flexible, and scalable IoT systems that can be used in smart cities, healthcare, industrial automation, and intelligent transportation.