Priority-weight-based computing and spectrum resource scheduling for dependent tasks in EON-supported computing first networks

The computing first network (CFN) supported by the elastic optical network (EON) is proposed as an innovative information infrastructure, where end users can access computing resources on demand. However, since the link capacity is limited, the network capacity bottleneck may cause task offloading failures even with sufficient computing resources. This paper proposes a cost-efficient computing and spectrum resource scheduling scheme to solve the above problem. The goal is to determine offloading decisions for dependent tasks by minimizing the completion delay and the energy consumption on computing nodes powered by non-green energy (i.e., non-green energy consumption). A priority-weight-based computing and spectrum resource scheduling (PW-CSRS) algorithm is proposed, which can sort the execution order of sub-tasks and optimize computing node selection and spectrum allocation. PW-CSRS is compared with three benchmarks in the 52-node and 33-node systems, and simulation results show that PW-CSRS can effectively improve the acceptance ratio and reduce non-green energy consumption.