Abstract
In view of the demand for high-concurrency massive data encryption and decryption application services in the security field, this paper proposes a dual-channel pipeline parallel data processing model (DPP) according to the characteristics of cryptographic operations and realized cryptographic operations of cross-data streams with different service requirements in a multiuser environment. By encapsulating cryptographic operation requirements in job packages, the input data flow is divided by the dual-channel mechanism and job packages parallel scheduling, which ensures the synchronization between the processing of the dependent job packages and parallel packages and hides the processing of the independent job package in the processing of the dependent job package. Prototyping experiments prove that this model can realize the correct and rapid processing of multiservice cross-data streams. Increasing the pipeline depth and improving the processing performance in each stage of the pipeline are the key to improving the system performance.
Highlights
With the development of computer and network technology, the large number of users and businesses of all kinds of business systems bring huge challenges to data analysis, processing, and storage of business systems
For the data stream mixed in the serial/parallel mode, due to the pipeline design of the algorithm operation module, in the process of dependent job packages, the independent job packages can be executed in parallel, so the execution time of independent job packages is hidden in the execution time of the dependent job package. erefore, the execution time T of the multitask mixed mode data stream is as follows: T Tpar +(n − 1)g + Ts + Tr + Tc + Tf + Tz + 2L ≤ T ≤ Tpar + w − w′ − 1g + w′ Ts + Tr + Tc + Tf + Tz + 2L. (5)
Based on the characteristics of cryptographic operations, this paper proposes a dual-channel pipeline parallel data processing model DPP to implement cryptographic operations for cross-data streams with different service requirements in a multiuser environment. e model ensures synchronization between dependent job packages and parallel processing between independent job packages and data streams
Summary
With the development of computer and network technology, the large number of users and businesses of all kinds of business systems bring huge challenges to data analysis, processing, and storage of business systems. Security needs are reflected in financial business, and the big data analysis for user behavior can expose users’ personal privacy. Erefore, considering the security and high-speed processing requirements, it is urgent to design a parallel system that can meet the requirements of different algorithms and different cryptographic working modes. People have done a lot of research on the high-speed design and implementation of cryptographic algorithm itself, as well as heterogeneous multicore crypto processors. According to the characteristics of cryptographic operations, under the demand of high-concurrency massive data encryption and decryption application service, an efficient stream data processing model for multiuser cryptographic services is proposed to meet the requirements of user-differentiated cryptographic service requirements and achieve high-speed cryptographic service performance.
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