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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      09 May 2023, Volume 38 Issue 3
    Article

    VERIFICATION OF DATA INTEGRITY, COMPLETION, AND ORDERING IN A GENERALIZED DATA TRANSFER NETWORK USING DECOMPOSITION
    Mr. Mhamane Sanjeev Chandrashekhar 1, Dr. Amol Kumbhare 2
    Journal of Data Acquisition and Processing, 2023, 38 (3): 71-85 . 

    Abstract

    The complexity and multiple stages of data transfer networks can make it difficult to verify data integrity, completion, and ordering. Decomposition can address this challenge by breaking down the data transfer network into smaller, more manageable components. The purpose of this article is to propose a method for verifying data integrity, completion, and ordering in a generalized data transfer network using decomposition. The approach involves breaking the network down into smaller components, defining the data flow between them, and developing testing procedures for each component. In order to ensure data integrity, completion, and ordering, checksums, automated tests, and other methods may be used. Testing procedures for each component can be combined to develop an overall testing strategy for the data transfer network. In this method, integrity of data transfer networks can be verified and maintained over time. In addition to providing a useful tool for ensuring data accuracy and completeness, the proposed approach can be applied to a wide range of data transfer networks.

    Keyword

    data Integrity, data transfer, verifying data integrity, Distributed data transfer Networks


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