@techreport{yangcan-ietf-data-migration-standards-04,
    number =    {draft-yangcan-ietf-data-migration-standards-04},
    type =      {Internet-Draft},
    institution =   {Internet Engineering Task Force},
    publisher = {Internet Engineering Task Force},
    note =      {Work in Progress},
    url =       {https://datatracker.ietf.org/doc/draft-yangcan-ietf-data-migration-standards/04/},
    author =    {Can Yang and Yu Liu\&Ying Wang\&ShiYing Pan and Cong Chen and Ge Chen and Yukai Wei},
    title =     {{A Massive Data Migration Framework}},
    pagetotal = 22,
    year =      2020,
    month =     may,
    day =       27,
    abstract =  {This document describes a standardized framework for implementing the massive data migration between traditional databases and big-data platforms on the cloud via Internet, especially for an instance of Hadoop data architecture. The main goal of the framework is to provide more concise and friendly interfaces for users more easily and quickly migrate the massive data from a relational database to a distributed platform for a variety of requirements, in order to make full use of distributed storage resource and distributed computing capability to solve the bottleneck problems of both storage and computing performance in traditional enterprise-level applications. This document covers the fundamental architecture, data elements specification, operations, and interface related to massive data migration.},
}