SDN‐Based Cloud Combining Edge Computing for IoT Infrastructure
Jyoti Snehi, Manish Snehi, Devendra Prasad, Sarita Simaiya, Isha Kansal, Vidhu Baggan · 2022
Traditional network protocols have proven to be a significant impediment to network administration. Computer networks are evolving at a breakneck pace. SDN enables central control of networks through software applications that leverage open APIs. This chapter's authors have explored the significance of virtualization in resolving fundamental challenges associated with SDN and NFV in the cloud technologies for IoT infrastructures and services to propose an SDN-based IoT architecture that makes better exploitation of data from IoT applications and network operations that a standard SDN-based network lacks. Additionally, they have extended the control plane with IoT-specific capabilities so that the control logic can be tailored to specific IoT applications, allowing for heterogeneous IoT systems to be supported. By building a robust knowledge-driven SDN and IoT-integrated architecture that employs edge cloud technologies to bring cloud solutions perilously close to the Internet of Things, the authors investigated the possibility of SDN being used to enhance IoT networks. The convergence of SDN-enabled programmability and standard cloud computing enables the IoT system to be both agile and cognitive, evolving it into an autonomous system. The contributors of this chapter conducted research and highlighted cutting-edge cloud services in the domain of service transition from centralized to distributed cloud solutions, as well as the challenges provided by these highly distributed systems. In this study, authors have discussed network challenges that include integrating a cloud technology in SDN network with the Internet of Things and suggested that by incorporating a knowledge plane into the devices, along with a knowledge-bound API; IoT proxies may be realized, which results in increased data efficiency through IoT devices and data.