Abstract:

In the era of computing power, heterogeneous data processing of new computing power services requires the ubiquitous computing power supported by cloud edge collaboration. Meanwhile, computing power is evolving to the new computing power including computing power, storage power, transportation power and capability, so as to meet the diversified demands of new computing power services. This requires the cloud-network convergence orchestrator and scheduler system to be equipped with automatic, intelligent and digital twinization capabilities of new computing power, so as to figure out the quantitative relationship between target SLA (Service Level Agreement) and resource portfolio of cloud and network conditionally dependent on the global topology of cloud-network convergence, in order to improve computing efficiency. On the basis of analyzing the deficiencies of the existing cloud-network convergence orchestrator and scheduler system, proposes a new cloud network convergence orchestrator and scheduler system architecture which is automatic, intelligent and digital twinization, gives typical scenarios, and puts forward suggestions on the evolution path of telco’s cloud-network convergence orchestrator and scheduler system.

Key words: cloud-network convergence, orchestrator, scheduler