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Use Cases and Requirements of Massive Data Transmission(MDT) in High Bandwidth-delay Product (BDP) Network

Document Type Active Internet-Draft (individual)
Authors Liu Ying , Mengyao Han
Last updated 2024-03-04
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Routing Area Working Group                                       Y. Liu
Internet Draft                                                   M. Han
Intended status: Informational Track                       China Unicom
Expires: September 4, 2024                                March 4, 2024       

         Use Cases and Requirements of Massive Data Transmission(MDT)
                       in High Bandwidth-delay Product (BDP) Network


   This document describes the use cases and related requirements of 
   Massive Data Transmission(MDT)in High Bandwidth-delay Product (BDP) 
   Network. To achieve MDT, it is necessary to implement service 
   identification and traffic record, network layer load balancing,
   transmission protocol optimization, etc. 

Status of this Memo

   This Internet-Draft is submitted in full conformance with the
   provisions of BCP 78 and BCP 79.

   Internet-Drafts are working documents of the Internet Engineering
   Task Force (IETF), its areas, and its working groups.  Note that
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   This Internet-Draft will expire on September 4, 2024.

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   Copyright (c) 2023 IETF Trust and the persons identified as the
   document authors. All rights reserved.

   This document is subject to BCP 78 and the IETF Trust's Legal
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Table of Contents
        1. Introduction..................................................2
        1.1. Requirements Language.......................................3
        2. Massive data transmission in high BDP network.................3
        3. Use Cases and Requirements....................................4
        3.1. Service Identification and Traffic Record...................4
        3.2. Load Balancing at Network Level.............................5
        3.3. Optimization of Transmission Protocols......................5
        3.4. Collaboration Requirements..................................5
        4. Security Considerations.......................................6
        5. IANA Considerations...........................................6
        6. References....................................................6
        6.1. Normative References........................................6
        6.2. Informational References....................................6
        Authors' Addresses...............................................7

1. Introduction

        With the continuous development of industries such as autonomous 
        driving, AI intelligent computing, and enterprise cloud, the demand 
        for massive data transmission across wide area networks from edge 
        data centers/enterprises to core data centers has become 
        increasingly common, and higher requirements have been put forward 
        for existing carrier network architectures.
        Taking the scenarios of supercomputing and intelligent computing as 
        example, data transmission usually includes two requirements:
        1)      The transmission of training data between intelligent computing 
        centers, supercomputing centers, and between intelligent computing 
        centers and supercomputing centers is usually carried by optical

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        networks due to high bandwidth requirements and high connection 
        2)      The transmission of training data and result feedback between 
        users and intelligent computing centers/supercomputing centers can 
        be carried through IP networks due to their strong suddenness and 
        cost sensitivity.
        The MDT can be achieved by traditional high-speed private lines, 
        providing users with efficient and reliable data transmission. 
        However, traditional private lines usually use billing methods such 
        as daily or monthly rent, with fixed bandwidth resources and 
        expensive prices. The long-distance transmission of massive data 
        requires  flexible transmission tasks based on user data 
        characteristics, completion time, and security requirements, 
        utilizing the idle bandwidth resources of existing private lines and 
        networks to reduce transmission costs and improve transmission 
        This draft mainly describes the overall architecture of feasible 
        solutions for MDT in high BDP network, typical problems that may be 
        encountered, and proposes potential solutions, including but not 
        limited to how to perform load balancing scheduling at the global 
        level of the network to avoid the impact of massive data 
        transmission on existing network services; how to identify MDT 
        services for traffic record and billing purposes; how to 
        optimize the congestion control algorithm of the transport layer 
        protocol to ensure that the throughput of TCP protocol can be 
        improved in long-distance lossy networks.
1.1. Requirements Language

        The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT", 
        "OPTIONAL" in this document are to be interpreted as described in 
        BCP 14 [RFC2119] [RFC8174] when, and only when, they appear in all 
        capitals, as shown here.
2. Massive data transmission in high BDP network

        Figure 1 show schematic diagram of the network architecture of 
        MDT in high BDP network, where key functional units include:
        DC/User Application(APP):APP can be deployed on DC/personal terminal 
        devices, which can be traditional file transfer tools or customized 
        APP developed for MDT scenarios, which implements enhanced 
        functions such as intelligent data compression, intelligent
        partitioning, encryption, etc.

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        Network:existing service carrier networks of current operators, such 
        as metropolitan area networks, backbone networks, etc.
        Controller:existing network management system includes controllers, 
        collaborators, orchestrators, etc.
        +-----+                             +-----------+            +------+
        | DC  |<--------------------------->|           |            |Center|
        | APP |                       |---->|Controller |<-----|     | DC2  |
        +-----+                       |     +-----------|      |  |->+------+
           |                          |             ^          |  |           
           |    +------+          |             |          |      |             
           |    | Edge |          V             V          V      |            
           |--->| DC1  |-\    +-------+   +-------+   +-------+ /         
                    +------+  \-> |  Edge |   | Core  |   |  Edge |/
                                          |       |-->|       |-->|       |
                                 /------> |Network|   |Network|   |Network|    
                                /         +-------+   +-------+   +-------+\   
        +------+   /                                            \    +------+
        | User1|--/                                              \-> | User2|
        | APP  |                                                     | APP  |
        +------+                                                     +------+
       Figure 1: Architecture of MDT in high BDP network

3. Use Cases and Requirements

        MDT service is a predictable time-efficient service that requires 
        data transmission to be completed within a specified time, not 
        sensitive to transmission delay, but requires a considerable amount 
        of network resources. Compared with traditional Internet and private 
        line services, how to improve transmission efficiency, achieve 
        service identification, complete scheduling and billing for services 
        are key issues to be considered.
3.1. Service Identification and Traffic Record 

        Before starting transmission, the APP will notify the controller of 
        the required data size and expected completion time for the task. 
        The controller will dynamically adjust the network path calculation 
        and private line bandwidth based on transmission requirements and 
        the current available link resources of the network, and distribute 
        the configuration to network nodes.
        After the transmission task is initiated, network devices need to be 
        able to identify MDT services and corresponding account information 
        based on certain identifiers, perform traffic record, and report 
        the statistical results to the controller. The controller can get 

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        the overall MDT usage of the network, as well as the specific 
        resource completion status for a particular user, and make 
        corresponding strategy adjustments. 
        From the above use cases, it can be seen that the billing of MDT 
        services and the scheduling and allocation of available bandwidth 
        resources in the current network require network devices to 
        recognize the current MDT services. APNID defined in [
        problem-statement-usecases] and [] may be a 
        potential solution to meet the identification requirements of MDT

3.2. Load Balancing at Network Level

        The bandwidth requirement for MDT service is generally between 500M-
        10G, and the launch of each service requires a huge consumption of 
        network resources. With the continuous increase of service 
        launching, how to make reasonable use of network idle resources, 
        allocate global network resources and data express tasks, and 
        minimize the impact on existing services have become necessary 
        issues to consider.
        The controller notifies the APP of available network resource 
        information, and the APP dynamically adjusts the data sending 
        strategy based on the available network bandwidth, and cooperates 
        with network devices to improve the overall resource utilization of 
        the network. When the controller discovers a shortage of available 
        network resources or predicts a rapid growth in future network 
        traffic, it should notify the APP side in advance to make policy 
3.3. Optimization of Transmission Protocols

        In most scenarios, the two ends of MDT services need to cross a wide 
        area network, with a distance of over 1000 km. RTT is in the tens of 
        MS range, and there is a small amount of packet loss in the network, 
        which poses new challenges to the traditional TCP [RFC7805]. 
        Based on current test results, the traditional TCP congestion 
        control algorithm [RFC2581] may not achieve the expected 
        transmission rate for MDT. Therefore, an efficient, secure 
        transmission protocol that can adapt to the current network state 
        and resource status is needed to solve these problems.
3.4. Collaboration Requirements


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4. Security Considerations

5. IANA Considerations


6. References

6.1. Normative References
        [RFC7805] Zimmermann, A., Eddy, W., and L. Eggert, "Moving Outdated 
                          TCP Extensions and TCP-Related Documents to Historic or 
                          Informational Status", RFC 7805, DOI 10.17487/RFC7805, 
                          April 2016, <>.
        [RFC2581] Allman, M., Paxson, V., and W. Stevens, "TCP Congestion 
                          Control", RFC 2581, DOI 10.17487/RFC2581, April 1999, 
        [RFC 9526] Filsfils, C., Talaulikar, K., Ed., Voyer, D., Bogdanov, 
                          A., and P. Mattes, "Segment Routing Policy Architecture", 
                          RFC 9256, DOI 10.17487/RFC9256, July 2022, 

6.2. Informational References
        [] Li, Z., Peng, S., Voyer, D., 
                          Xie, C., Liu, P., Qin, Z., and G. S. Mishra, "Problem 
                          Statement and Use Cases of Application-aware Networking 
                          (APN)", Work in Progress, Internet-Draft, draft-li-apn-
                          problem-statement-usecases-08, 3 April 2023, 
   [] Li, Z., Peng, S., and S. Zhang, "Application-
              aware Networking (APN) Header", Work in Progress,
              Internet-Draft, draft-li-apn-header-04, 12 April 2023,

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Authors' Addresses

        Ying Liu
        China Unicom
        Mengyao Han
        China Unicom

        Zheng Ruan
        China Unicom

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