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  <front>
    <title abbrev="Framework for HP-WAN ">Framework for High Performance Wide Area Network (HP-WAN)</title>
    <seriesInfo name="Internet-Draft" value="draft-xhy-hpwan-framework-02"/>
    <author initials="Q." surname="Xiong" fullname="Quan Xiong">
      <organization>ZTE Corporation</organization>
      <address>
        <email>xiong.quan@zte.com.cn</email>
      </address>
    </author>
    <author initials="G." surname="Huang" fullname="Guangping Huang">
      <organization>ZTE Corporation</organization>
      <address>
        <email>huang.guangping@zte.com.cn</email>
      </address>
    </author>
    <author initials="K." surname="Yao" fullname="Kehan Yao">
      <organization>China Mobile</organization>
      <address>
        <email>yaokehan@chinamobile.com</email>
      </address>
    </author>
    <author initials="C." surname="Lin" fullname="Changwang Lin">
      <organization>New H3C Technologies</organization>
      <address>
        <email>linchangwang.04414@h3c.com</email>
      </address>
    </author>
    <date year="2025" month="June" day="10"/>
    <workgroup>hpwan</workgroup>
    <abstract>
      <?line 38?>

<t>This document defines a framework to enable the host-network collaboration for high-speed and high-throughput
data transmission, coupled with fast completion time of High Performance Wide Area Networks (HP-WAN). It 
focuses on key congestion control functions to facilitate host-to-network collaboration and perform 
rate negotiation, such as QoS policy, admission control, and traffic scheduling.</t>
    </abstract>
  </front>
  <middle>
    <?line 45?>

<section anchor="introduction">
      <name>Introduction</name>
      <t>Data-intensive applications always demand high-speed data transmission over WANs such as scientific research, academia, 
education as discussed in <xref target="I-D.kcrh-hpwan-state-of-art"/> and other applications in public networks as per <xref target="I-D.yx-hpwan-uc-requirements-public-operator"/>.
The specific requirements of HP-WANs applications mainly focus on job-based massive data transmission over 
long-distance WANs, with set completion times.  High, reliable and effective data throughput is the fundamental 
requirement for HP-WAN.  It is crucial to achieve high throughput while ensuring the efficient use of 
capacity as per <xref target="I-D.xiong-hpwan-problem-statement"/>. Current technology does not guarantee these goals, and 
the issues may impact performance related to existing transport protocols and congestion control 
mechanisms such as poor convergence speed, long feedback loop, and unscheduled traffic.</t>
      <t>High-level requirements for HPWAN can be summarized as:</t>
      <t>*Multiple data transfer requests should be scheduled in terms of available capacity and the requested completion time in 
terms of transmission performance;</t>
      <t>*From the routing aspect, the optimal path and resources should be scheduled based on the QoS policy for the
 high-speed flows to travel through the network with the negotiated data transfer rate;</t>
      <t>*From the transport aspect, it ensures the reliable delivery of data with traffic scheduling and admission 
control to effectively handle the flow of data during transmission, reducing congestion and ensuring timely 
delivery of data packets;</t>
      <t>*The host should consider signalling and collaborating with the network to negotiate the rates of 
differentiated traffic (especially when the traffic is encrypted) to avoid the congestion and optimize 
the overall efficiency of data transfer.</t>
      <t>This document defines a framework for these requirements, including the signaling goals to enable the 
host-and-network collaboration for the high-speed and high-throughput data transmission, coupled with fast 
completion time in High Performance Wide Area Network (HP-WAN).  It particularly enhances the congestion
control and facilitates the functionalities for the host to collaborate with the network to perform rate 
negotiation, such as QoS policy, admission control and traffic scheduling.</t>
    </section>
    <section anchor="definition-of-terms">
      <name>Definition of Terms</name>
      <t>This document uses the terms defined in <xref target="I-D.kcrh-hpwan-state-of-art"/> and <xref target="I-D.xiong-hpwan-problem-statement"/>:</t>
    </section>
    <section anchor="framework-for-hp-wan">
      <name>Framework for HP-WAN</name>
      <section anchor="overview">
        <name>Overview</name>
        <t>The framework is formulated to enable the host-network collaboration upon more active network involvement.
The client and server could adjust the rate efficiently and rapidly with the negotiated rate-based congestion 
control in a fine-grained way. The network could enhance the capability to regulate the traffic and schedule 
the resources which could provide predictable network behaviour and mitigate incast network congestion preemptively.</t>
        <t>The following diagram illustrates the functionalities between Client/Server and WAN including:</t>
        <t>*Host-network collaboration signalling or protocol</t>
        <t>*Active network-collaborated traffic enforcement and scheduling</t>
        <t>*Negotiated rate-based congestion control algorithms</t>
        <artwork><![CDATA[
                          +-------------------------------+
                          |             WAN               |
   +--------+             |                               |              +--------+
   |        |        +----+----+   +-------------+   +----+----+         |        |
   | Client |<------>|Edge Node|...|Transit Nodes|...|Edge Node|<------->| Server |
   |        |        +----+----+   +-------------+   +----+----+         |        |      
   +--------+             |                               |              +--------+ 
       *collaboration     |                               |     *collaboration
      signalling/protocols|                               |     signalling/protocols
                          +-------------------------------+
  \_________/              \______________________________/
*Negotiated rate-based      *Active network-collaborated 
congestion control            enforcement and scheduling
algorithms

                Figure 1 HP-WAN framework
]]></artwork>
      </section>
      <section anchor="workflow-and-functions">
        <name>Workflow and Functions</name>
        <t>The following diagram illustrates the workflows among client, server and network nodes (e.g. edge nodes and transit nodes).</t>
        <t>*The request of scheduled traffic will be signalled from the client to the network based on the negotiated rate. 
Furthermore, the traffic pattern and job-based requirements, such as completion time, should be included in the request.</t>
        <t>*The edge node will perform admission control and acknowledge the traffic, reserving the resource quota, 
but it will reject access when the network capacity cannot guarantee the job's completion time.</t>
        <t>*The acknowledgement will be signalled back from the network to the client, including the response with the 
negotiated rate and QoS policy for the client to send traffic.</t>
        <t>*The notification will be signalled from the client to the network to notify the completion of traffic, and 
the network will release the resource quota and cancel the acknowledgement of this job.</t>
        <t>*The update may signal to the client from the network to update the acknowledgement of the negotiated rate 
when new traffic requests are received.</t>
        <artwork><![CDATA[
 +--------+               +-----------+       +------------+         +-----------+       +--------+
 | Client |               | Edge Node |       |Transit Node|         | Edge Node |       | Server |
 +----+---+               +-----+-----+       +-----+------+         +-----+-----+       +----+---+
      |                         |                   |                      |                  |
      |Requests(traffic pattern)|                   |                      |                  |
      |------------------------>|*Rate negotiation  |                      |    Requests      |
      |                         |*Traffic scheduling|                      |----------------->|
      |Acknowledgement          |*Admission control |                      | Acknowledgement  |
      |(negotiated rate)        |        *Reserve resource quota           |<-----------------|    
      |<------------------------|*Negotiated rate-based traffic engineering|                  |  
      |                         |<########################################>|                  |
      |New Request              |                   |                      |                  |
      |------------------------>|                   |                      |                  |
      |Update(negotiated rate)  |                   |                      |                  |  
      |<------------------------|                   |                      |                  | 
      |Notification(completion) |                   |                      | Notification     |
      |------------------------>|        *Release resource quota           |----------------->| 
      |Acknowledgement(cancel)  |<########################################>| Acknowledgement  |
      |<------------------------|                   |                      |<-----------------|
      |                         |                   |                      |                  |
      V                         V                   V                      V                  V

                       Figure 2 The workflow of signalling between host and network
          
]]></artwork>
        <t>The client could send traffic according to the negotiated rate policy to achieve a high throughput within the completion time.
And the edge node will send fast feedback with the advised rate when the traffic rate does not apply to the network.
It could also pause the traffic when congestion occurs (e.g. the traffic is exceeding the threshold of the server,
the network performs the flow control).</t>
        <artwork><![CDATA[
 +--------+                 +-----------+   +------------+  +-----------+             +--------+
 | Client |                 | Edge Node |   |Transit Node|  | Edge Node |             | Server |
 +----+---+                 +-----+-----+   +-----+------+  +-----+-----+             +----+---+
      |                           |               |               |                        |
      |                           |               |               |                        |
      | Traffic(negotiated-rate)  |    Traffic(negotiated-rate)   |Traffic(negotiated-rate)|
      |-------------------------->|******************************>|----------------------->|
      |                           |               |               |   Exceeding threshold  |
      |                           |               |*Flow control  |<-----------------------|
      |                           |*Flow control  |<--------------|                        |  
      | Fast Feedback(pause)      |<--------------|               |                        |
      |<--------------------------|               |               |                        |
      |  Traffic(wrong-rate)      |               |               |                        |
      |-------------------------->|               |               |                        |
      |Fast Feedback(advised-rate)|               |               |                        |
      |<--------------------------|               |               |                        |
      |                           |               |               |                        |
      V                           V               V               V                        V

                        Figure 3 The workflow of traffic between host and network
          
]]></artwork>
        <t>The functions are described in the sections below including transport-related technologies such as rate negotiation, 
admission control, traffic scheduling and enforcement and routing-related technologies like traffic engineering, 
resource scheduling and load balancing.</t>
        <section anchor="rate-negotiation">
          <name>Rate Negotiation</name>
          <t>In HP-WAN, the host could negotiate the sending rate with the network due to the predictability of jobs. The client 
communicates the traffic patterns of high-speed flows to the network to negotiate rate. The traffic patterns may cover 
traffic information such as job ID, start time, completion time, data volume, traffic type and so on. The network responds
to the negotiated rate and QoS policy for the client to send traffic. There are three kinds of rate policy as follows:</t>
          <t>*Optimal rate or optimal rate range negotiation. The network provides resource reservation for high-speed data to 
guarantee the transmission capacity and achieve optimal rate transmission. The client could transmit flows according to
the negotiated optimal rate or optimal rate range.</t>
          <t>*Minimum rate negotiation. The network provides the minimum resource guarantee. The client could transmit at a rate not 
less than the negotiated rate.</t>
          <t>*Maximum rate negotiation. The network provides an upper limit for resource guarantee. The client could transmit at a 
rate not greater than the negotiated rate.</t>
        </section>
        <section anchor="admission-control">
          <name>Admission Control</name>
          <t>The network node should perform admission and traffic control based on negotiated QoS and rate. By combining the admission 
control with congestion control, it can provide high throughput associated with completion time while efficiently using the 
available network capacity. The strategies of admission control are different based on the QoS policy. For example, one 
strategy is to immediately grant or reject admission to a reservation request on its arrival time, which is called on-demand
admission control. If a reservation request can not be granted or rejected at the time of its arrival, it will be put in a 
queue, which is called queue-based admission control. Furthermore, a time-slot based admission control is used for scheduling
 the elastic and flows requests.</t>
        </section>
        <section anchor="traffic-scheduling-and-enforcement">
          <name>Traffic Scheduling and Enforcement</name>
          <t>The network node (e.g.edge node) performs rate-based traffic scheduling and enforcement. For example, traffic classification
may be needed based on the traffic type. If it needs to prioritize critical traffic for acceleration, it should upgrade the
priority of QoS. Moreover, if the traffic needs a guaranteed QoS, it should provide guaranteed bandwidth for this flow. It 
also could perform the aggregation of mouse flows or the fragmentation of an elephant flow if needed. Splitting data across 
multiple paths for load balancing can increase the throughput and provide redundancy. If one path experiences congestion, 
alternate paths compensate, ensuring timely delivery. The traffic enforcement at network edges can used to regulate data 
flow to eliminate congestion and minimize the flow completion time. For example, it could enforce the rate limits based on 
the negotiated rate to access traffic.</t>
        </section>
        <section anchor="optimization-of-congestion-control-algorithms">
          <name>Optimization of Congestion Control Algorithms</name>
          <t>The client should perform the improvement of congestion control algorithms based on the negotiated-rate from the network. 
The negotiated-rate can be viewed as an initial congestion signal to assist the client in selecting a suitable sending rate 
with the network resource scheduling acknowledgement. And it also needs to turn off and on or adjust the rate reasonably and
rapidly when receiving the fast feedback from the node nearing the client.</t>
        </section>
        <section anchor="negotiated-rate-based-traffic-engineering">
          <name>Negotiated Rate-based Traffic Engineering</name>
          <t>The negotiated rate-based traffic engineering should be provided by routing technologies and the signaling from client 
will assist the network operator's traffic management and corresponding resource planning and scheduling. The edge node
may get information (topology, bottleneck link bandwidth, queue and buffer) from a centralized controller or through IGP
advertisement. The network should provide resource scheduling at nodes along the path and it is not bandwidth allocation 
but quota reservation which can be used for admission control. The client and network can also negotiate rate based on 
the quota of each job. Quota is expressed as a vector of resource quantities (bandwidth, buffer, queue, etc.) at a given 
priority, for a time frame. The network can make dynamic bandwidth reservation upon different time frames defined by quota. 
It will differ based on the different QoS policy. For example, it is required to reserve the minimum bandwidth quota for
 the minimum rate policy.</t>
        </section>
        <section anchor="fast-feedback">
          <name>Fast Feedback</name>
          <t>The fast feedback function is optional for HP-WAN. The edge node will send fast feedback with the advised rate when the 
traffic rate is not applicable to the network. It could also pause traffic when congestion occurs and resume it when
congestion is mitigated.</t>
        </section>
        <section anchor="flow-control">
          <name>Flow Control</name>
          <t>The specific elements along the path may be optional to provide active and precise flow control to mitigate network 
congestion to control the packet loss.  Flow control refers to a method for ensuring the data is transmitted 
efficiently and reliably and controlling the rate of data transmission to prevent the fast sender from overwhelming the 
slow receiver and prevent packet loss in congested situations.  For example, the receiver node could signal the sender 
node to control the traffic on or off to guarantee the packet loss. When the data sent by the client exceeds the threshold, 
the network should provide fast and accurate quantitative feedback to control the traffic on or off.</t>
        </section>
      </section>
    </section>
    <section anchor="signalling-considerations">
      <name>Applicability of Host-network Collaboration Signalling</name>
      <t>There are several existing signalling options for HP-WAN host-network collaboration signalling such as RSVP and GRASP.
There will be two deployment scenarios in HP-WAN. The first one will be the central controller deployment which will 
have a hierarchical planning and resource reservation in the network like CERN deployment and the SENSE architecture. 
In this case, the host-newtork signalling (between client and edge node) may be peer-to-peer solution and both GRASP 
and RSVP may be applicable. And the second case will be distributed or hybrid deployment in the network which needs 
distributed signalling along the path for resource reservation. In this case, the host may signal from the client to 
the network nodes along the path. RSVP may be applicable but not GRASP.</t>
      <t>GRASP is peer-to-peer signalling and is designed for synchronization and negotiation between autonomic service 
agents, which reduces the need for hierarchy and allows the intelligence to be distributed rather than 
centralized. However it is not applicable when the signalling should be performed along the end-to-end path.</t>
      <t>Although RSVP may not be deployable with complex configuration and management which requires precise configuration across 
all network devices along the path. It will also add administrative complexity between host and network in HP-WAN with
operational issues. But SR, slicing, diffServ QoS and SDN-based approaches may be used to largely improve RSVP in HP-WAN.
Moreover, RSVP reservations often allocate fixed resources in the nodes along the path, which can lead to underutilization
if the reserved resources are not fully used. The extensions may be required to applied to HP-WAN that the bandwidth and 
rate vary over time and it requires scalable throughput, dynamic bandwidth reservation and efficient use of capacity.</t>
    </section>
    <section anchor="security-considerations">
      <name>Security Considerations</name>
      <t>To be discussed in future versions of this document.</t>
    </section>
    <section anchor="iana-considerations">
      <name>IANA Considerations</name>
      <t>Currently this document does not make an IANA requests.</t>
    </section>
  </middle>
  <back>
    <references anchor="sec-informative-references">
      <name>Informative References</name>
      <reference anchor="I-D.kcrh-hpwan-state-of-art">
        <front>
          <title>Current State of the Art for High Performance Wide Area Networks</title>
          <author fullname="Daniel King" initials="D." surname="King">
            <organization>Lancaster University</organization>
          </author>
          <author fullname="Tim Chown" initials="T." surname="Chown">
            <organization>Jisc</organization>
          </author>
          <author fullname="Chris Rapier" initials="C." surname="Rapier">
            <organization>Pittsburgh Supercomputing Center</organization>
          </author>
          <author fullname="Daniel Huang" initials="D." surname="Huang">
            <organization>ZTE Corporation</organization>
          </author>
          <date day="8" month="January" year="2025"/>
          <abstract>
            <t>   High Performance Wide Area Networks (HP-WANs) represent a critical
   infrastructure for the modern global research and education
   community, facilitating collaboration across national and
   international boundaries.  These networks, such as Janet, ESnet,
   GÉANT, Internet2, CANARIE, and others, are designed to support the
   general needs of the research and education users they serve but also
   the the transmission of vast amounts of data generated by scientific
   research, high-performance computing, distributed AI-training and
   large-scale simulations.

   This document provides an overview of the terminology and techniques
   used for existing HP-WANS.  It also explores the technological
   advancements, operational tools, and future directions for HP-WANs,
   emphasising their role in enabling cutting-edge scientific research,
   big data analysis, AI training and massive industrial data analysis.

            </t>
          </abstract>
        </front>
        <seriesInfo name="Internet-Draft" value="draft-kcrh-hpwan-state-of-art-01"/>
      </reference>
      <reference anchor="I-D.yx-hpwan-uc-requirements-public-operator">
        <front>
          <title>High Performance Wide Area Network (HPWAN) Use Cases and Requirements -- From Public Operator's View</title>
          <author fullname="Kehan Yao" initials="K." surname="Yao">
            <organization>China Mobile</organization>
          </author>
          <author fullname="Quan Xiong" initials="Q." surname="Xiong">
            <organization>ZTE Corporation</organization>
          </author>
          <date day="20" month="February" year="2025"/>
          <abstract>
            <t>   Bulk data transfer is a long-lived service over the past twenty
   years.  High Performance Wide Area Networks (HP-WANs) are the
   backbone of global network infrastructure, enabling the seamless
   transfer of vast amounts of data and supporting advanced scientific
   collaborations worldwide.  Many of the state-of-the-art dedicated
   networks have been mentioned in [I-D.kcrh-hpwan-state-of-art].  For
   non-dedicated networks like public operator's network, the case is
   different in terms of QoS policies, security policies, etc.  This
   document presents use cases and requirements of HPWAN from public
   operator's view.

            </t>
          </abstract>
        </front>
        <seriesInfo name="Internet-Draft" value="draft-yx-hpwan-uc-requirements-public-operator-00"/>
      </reference>
      <reference anchor="I-D.xiong-hpwan-problem-statement">
        <front>
          <title>Problem Statement for High Performance Wide Area Networks</title>
          <author fullname="Quan Xiong" initials="Q." surname="Xiong">
            <organization>ZTE Corporation</organization>
          </author>
          <author fullname="Kehan Yao" initials="K." surname="Yao">
            <organization>China Mobile</organization>
          </author>
          <author fullname="Cancan Huang" initials="C." surname="Huang">
            <organization>China Telecom</organization>
          </author>
          <author fullname="Han Zhengxin" initials="H." surname="Zhengxin">
            <organization>China Unicom</organization>
          </author>
          <author fullname="Junfeng Zhao" initials="J." surname="Zhao">
            <organization>CAICT</organization>
          </author>
          <date day="25" month="February" year="2025"/>
          <abstract>
            <t>   High Performance Wide Area Network (HP-WAN) is designed for many
   applications such as scientific research, academia, education and
   other data-intensive applications which demand high-speed data
   transmission over WANs, and it needs to provide efficient
   transmission services within a completion time.  This document
   outlines the problems for HP-WANs.

            </t>
          </abstract>
        </front>
        <seriesInfo name="Internet-Draft" value="draft-xiong-hpwan-problem-statement-02"/>
      </reference>
    </references>
    <?line 309?>



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