An Efficient Stream Data Processing Model for Multiuser Cryptographic Service
Joint Authors
Li, Li
Li, Fenghua
Shi, Guozhen
Geng, Kui
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-07-31
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Li, Li& Li, Fenghua& Shi, Guozhen& Geng, Kui. 2018. An Efficient Stream Data Processing Model for Multiuser Cryptographic Service. Journal of Electrical and Computer Engineering،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1184448
Modern Language Association (MLA)
Li, Li…[et al.]. An Efficient Stream Data Processing Model for Multiuser Cryptographic Service. Journal of Electrical and Computer Engineering No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1184448
American Medical Association (AMA)
Li, Li& Li, Fenghua& Shi, Guozhen& Geng, Kui. An Efficient Stream Data Processing Model for Multiuser Cryptographic Service. Journal of Electrical and Computer Engineering. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1184448
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1184448