Optimizing System-on-Chip Performance Using AI and SDN: Approaches and Challenges

Document Type

Conference Proceeding

Publication Title

2022 9th International Conference on Software Defined Systems, SDS 2022


The advancement of modern multimedia and data-intensive classes of applications demands the development of hardware that delivers better performance. Due to the evolution of 5G, Edge-Computing, the Internet of Things, Software-Defined networks, etc., the data produced by the devices such as sensors are increasing. A software-Defined network is a powerful paradigm that is capable of automating networking and cloud computing. Software-Defined Network has controllers, devices, and applications which produce a huge amount of data. The processing of data inside the device as well as between the devices needs a better hardware architecture with more cores to ensure speedy performance. The System-on-Chip approach alone will not be capable to handle this dense core comprised of hardware. We have to blend Network-on-Chip along with System-on-Chip to increase the potential to include more cores capable to handle more threads. Artificial Intelligence, a key enabler in next-generation devices is capable of producing a better architecture design with optimized performance. In this paper, we are discussing and endeavouring how System-on-Chip, Network-on-Chip, Software-Defined Networks, and Artificial Intelligence can be physically, logically, and contextually incorporated to deliver improved computation and networking outcomes.



Publication Date



Artificial Intelligence (AI), Deep Learning (DL), Design Space Optimization (DSO), I/O (Input/Output), Integrated Circuits (IC), Intellectual Property (IP) blocks, Machine Learning (ML), Network-on-Chip (NoC) Software Defined Networks (SDN), System-on-Chip (SoC)


IR conditions: non-described