Multitask Scheduling Method for Heterogeneous Computing Resources of Power Cryptographic Service

With the rapid development of the power cryptographic service, a single cryptographic computing resource, whether virtual cipher machine (VCM) or physical cipher machine (PCM), is hard to meet the security and efficiency requirements at the same time. Therefore, based on the PCM+VCM hybrid cryptographic computing platform, this brief proposes a novel multitask scheduling algorithm to satisfy the various security requirements and improve the computational efficiency of the power cryptographic service system (PCSS). Firstly, a scheduling architecture and a model for cryptographic service tasks considering security and efficiency are designed. Then, we propose a clustering mapping scheduling (CMS) algorithm based on weighted deep embedding clustering (WDEC) to implement scene partitioning and matching for cryptographic tasks. Moreover, we conduct case studies in a simulation platform that we build with S-9 PCMs and S-1 VCMs. Simulation results reveal that the trade-off between security and efficiency of task sequence is affected by the division of task execution scenarios.