Integrated communication and computing deployment algorithms for Ring Allreduce in optical networks of intelligent computing centers

The rapid development of artificial intelligence has posed significant challenges to intelligent computing centers, especially in the collaborative scheduling of computational and networking resources. To address the deployment optimization issues of distributed intelligent computing services (Ring Allreduce), a novel technology called the computing power-wavelength plane (CWP) which enhanced the traditional waveplane framework to enable integrated virtual management of computational and network resources was firstly proposed. Based on the CWP, an efficient routing, wavelength, computing power, and time slot assignment (RWCTA) algorithm was proposed for Ring Allreduce service deployment. Simulation results demonstrate that, compared to conventional waveplane-based algorithms, the RWCTA algorithm based on the CWP effectively reduces the overall task completion time by 62.4% and the average task computation time by 54.5%.