Research on Cryptographic Service Request Scheduling Scheme Based on Improved Dragonfly Algorithm in Cloud Environment

In recent years, with the rapid development of cloud computing technology, more and more enterprises and individuals are uploading data to the cloud for computing or storage. Under the premise of separating the ownership and management of data, the security of data use has become the focus. To address this, corresponding cryptographic services are needed to achieve identity authentication, confidentiality protection, and integrity protection. However, traditional service methods lack flexibility and have limitations, making it difficult to meet the needs of cloud environments. Therefore, the cloud cryptography service mode and its methods have become a new research focus and hot spot. In view of the diversity and heterogeneity of cryptographic service requests and cryptographic devices, this paper proposes a cryptographic service model for cloud environment based on the normalized description of cryptographic service requests and cryptographic computing nodes, so as to standardize the cloud cryptographic service system. To address the issue of cryptographic service request conflicts in multi-user and multi-request environments, we propose a cryptographic service request scheduling algorithm based on an improved dragonfly algorithm. The algorithm sets dynamic priorities for cryptographic service requests and establishes an optimization function for the improved dragonfly algorithm. The scheduling objectives are the completion time of service requests and the load balancing of the virtual computing node cluster, achieving timely processing of diversified cryptographic service requests. Testing and analysis using the CloudSim framework show that this algorithm can well adapt to the needs of cloud cryptographic service mode, thereby realizing on-demand cryptographic services in cloud environments.