An Efficient Stream Data Processing Model for Multiuser Cryptographic Service. (31st July 2018)

• Record Type: Journal Article
• Authors: Li, Li; Li, Fenghua; Shi, Guozhen; Geng, Kui
• Other Names: Yang Jar Ferr Academic Editor.
• Is Part Of: Journal of electrical and computer engineering. Volume 2018(2018)
• Publication Date: 2018-07-31
• Subjects: Computer engineering -- Periodicals; Electrical engineering -- Periodicals; 621.3905
• DOI: 10.1155/2018/3917827
• Languages: English
• ISSNs: 2090-0147

Abstract

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.